1、 题名： 新型双连杆双曲轴内燃机滑块偏转仿真研究作者： 谭理刚;杨靖;龚志辉来源： 《内燃机工程》 ISSN :1000-0925,2005,26(3):57-602、 题名： 直喷式发动机燃油喷射过程的多维模型仿真作者： 刘金武;杨靖;高为国;倪小丹来源： 《系统仿真学报 》ISSN :1004-731X,2004,16(3):525-5293、 题名： 虚拟样机技术在SL1126内燃机设计中的应用研究作者： 易际明;杨靖;张亮峰来源： 《计算机辅助设计与图形学学报》 ISSN :1003-9775,2004,16(7):1016-10194、 题名： 基于案例的SL1126内燃机方案设计作者： 易际明;杨靖;张亮峰来源： 《机械设计》 ISSN :1001-2354,2004,21(12):35-375、题名： 支持Top-Down Design的内燃机参数化建模作者： 易际明;杨靖;张亮峰来源： 《中国制造业信息化》 ISSN :1672-1616,2004,33(3):100-1026、 题名： 直喷式发动机喷雾模型研究进展作者： 刘金武;杨靖;高为国;倪小丹来源： 《内燃机工程》 ISSN :1000-0925,2005,26(1):81-847、 题名： 柴油机的性能改进及缸内工作过程的三维数值模拟作者： 杨靖;肖明伟;崔东晓;邓帮林;周剑来源： 《湖南大学学报. 自然科学版 》ISSN :1000-2472,2006,33(4):50-548、 题名： 内燃机燃烧过程仿真后处理输入文件Ipost的研究作者： 刘金武;杨靖;高为国;倪小丹来源： 《湖南工程学院学报》 自然科学版 ISSN :1671-119X,2003,13(3):34-369、 题名： 关联设计技术及其在内燃机CAD系统中的应用作者： 易际明;朱理;杨靖来源： 《机械设计与研究》 ISSN :1006-2343,2004,20(3):89-90,9510、题名： 基于μC/OS-Ⅱ嵌入式内核的排气分析仪开发研究作者： 谭理刚;杨靖;潘朝辉;龚金科来源：《湖南大学学报》自然科学版 ISSN :1000-2472,2005,32(4):43-4611、题名： CAD系统软件数据交换技术的实现作者： 张亮峰;杨靖;彭浩舸来源：《湖南工程学院学报》自然科学版ISSN :1671-119X,2004,14(4):38-4012、题名： 双连杆内燃机动态仿真作者： 易际明;杨靖来源： 《系统仿真学报》 ISSN :1004-731X,2004,16(12):2780-278213、题名： 提高智能排气分析仪精度的研究作者： 杨靖;潘朝晖;周剑来源： 《内燃机工程》 ISSN :1000-0925,2004,25(2):75-7814、题名： 105系列直喷式柴油机新燃烧系统开发作者： 杨靖;李克;潘朝浑来源： 《内燃机工程》 ISSN :1000-0925,2003,24(6):13-1615、题名： 面向装配的智能变型设计技术及应用研究作者： 易际明;杨靖来源： 《湖南工程学院学报》 自然科学版 ISSN :1671-119X,2005,15(1):25-2916、题名： SL1115单缸双连杆柴油机配气凸轮型线的设计作者： 李蓉;杨靖来源： 《小型内燃机与摩托车》 ISSN :1002-8277,2000,29(2):1917、题名：轻型汽油车改装柴油机后发动机悬置系统和冷却系统的优化作者： 杨靖;肖明伟；崔东晓；邓帮林来源： 《客车技术与研究》 ISSN :1000-2472,2006,28(2):4918、题名： 内燃机燃烧过程仿真计算的双精度系统设计作者： 刘金武;杨靖;倪小丹;黄麓升来源： 《湖南工程学院学报》 自然科学版 ISSN :1671-119X,2004,14(2):40-43
Sensorless torque control scheme ofinduction motor for hybrid electric vehicleYan LIU 1,2, Cheng SHAO1( Institute of Advanced Control Technology, Dalian University of Technology, Dalian Liaoning 116024, China; of Information Engineering of Dalian University, Dalian Liaoning 116622, China)Abstract: In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehicle(HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrialdrive system, the conventional field-oriented control (FOC) provides poor performance. Therefore, a new robust PI-basedextension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed inorder to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme isrobust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor ischosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy lossesshown by : Hybrid electric vehicle; Induction motor; Torque tracking; Sliding mode1 IntroductionBeing confronted by the lack of energy and the increasinglyserious pollution, the automobile industry is seekingcleaner and more energy-efficient Hybrid ElectricVehicle (HEV) is one of the solutions. A HEV comprisesboth a Combustion Engine (CE) and an Electric Motor(EM). The coupling of these two components can be inparallel or in series. The most common type of HEV is theparallel type, in which both CE and EM contribute to thetraction force that moves the vehicle. Fig1 presents a diagramof the propulsion system of a parallel HEV [1].Fig. 1 Parallel HEV automobile propulsion order to have lower energy consumption and lower pollutantemissions, in a parallel HEV the CE is commonlyemployed at the state (n > 40 km/h or an emergency speedup), while the electric motor is operated at various operatingconditions and transient to supply the difference in torquebetween the torque command and the torque supplied bythe CE. Therefore fast and precise torque tracking of an EMover a wide range of speed is crucial for the overall performanceof a induction motor is well suited for the HEV applicationbecause of its robustness, low maintenance and lowprice. However, the development of a drive system basedon the induction motor is not straightforward because of thecomplexity of the control problem involved in the IM. Furthermore,motor parameter variations in HEV applicationsare larger than in industrial drive system during operation[2]. The conventional control technique ranging from theinexpensive constant voltage/frequency ratio strategy to thesophisticated sensorless control schemes are mostly ineffectivewhere accurate torque tracking is required due to theirdrawbacks, which are sensitive to change of the parametersof the general, a HEV operation can be continuing smoothlyfor the case of sensor failure, it is of significant to developsensorless control algorithms. In this paper, the developmentof a sensorless robust torque control system for HEVapplications is proposed. The field oriented control of the inductionmotor is commonly employed in HEV applicationsdue to its relative good dynamic response. However the classical(PI-based) field oriented control (CFOC) is sensitive toparameter variations and needs tuning of at least six controlparameters (a minimum of 3 PI controller gains). An improvedrobust PI-based controller is designed in this paper,Received 5 January 2005; revised 20 September work was supported in part by State Science and Technology Pursuing Project of China (No. 2001BA204B01).Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46 43which has less controller parameters to be tuned, and is robustto parameter variable parameters modelof the motor is considered and its parameters are continuouslyupdated while the motor is operating. Speed andflux observers are needed for the schemes. In this paper,the speed-flux observer is based on the sliding mode techniquedue to its superior robustness properties. The slidingmode observer structure allows for the simultaneous observationof rotor fluxes and rotor speed. Minimization of theconsumed energy is also considered by optimizing operatingflux of the The control problem in a HEV caseThe performance of electric drive system is one of thekey problems in a HEV application. Although the requirementsof various HEV drive system are different, all thesedrive systems are kinds of torque control systems. For anideal HEV, the torque requested by the supervisor controllermust be accurate and efficient. Another requirement is tomake the rotor flux track a certain reference λref . The referenceis commonly set to a value that generates maximumtorque and avoids magnetic saturation, and is weakened tolimit stator currents and voltages as rotor speed HEV applications, however, the flux reference is selectedto minimize the consumption of electrical energy as it is oneof the primary objectives in HEV applications. The controlproblem can therefore be stated as the following torque andflux tracking problems:minids,iqs,we Te(t) − Teref (t), (1)minids,iqs,we λdr(t) − λref (t), (2)minids,iqs,we λqr(t), (3)where λref is selected to minimize the consumption of electricalenergy. Teref is the torque command issued by thesupervisory controller while Te is the actual motor (3) reflects the constraint of field orientation commonlyencountered in the literature. In addition, for a HEVapplication the operating conditions will vary changes of parameters of the IM model need to be accountedfor in control due to they will considerably changeas the motor changes operating A variable parameters model of inductionmotor for HEV applicationsTo reduce the elements of storage (inductances), the inductionmotor model used in this research in stationary referenceframe is the Γ-model. Fig. 2 shows its q-axis (d-axisare similar). As noted in [3], the model is identical (withoutany loss of information) to the more common T-model inwhich the leakage inductance is separated in stator and rotorleakage [3]. With respect to the classical model, the newparameters are:Lm = L2mLr= γLm, Ll = Lls + γLlr,Rr = γ. 2 Induction motor model in stationary reference frame (q-axis).The following basic w−λr−is equations in synchronouslyrotating reference frame (d - q) can be derived from theabove model.⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩dλdrdt= −ηλdr + (we − wr)λqr + ηLmids,dλqrdt= −(we − wr)λdr − ηλqr + ηLmiqs,didsdt= ηβλdr+βwrλqr−γids+weiqs+1σLsVds,diqsdt=−βwrλdr+ηβλqr−weids−γiqs+1σLsVqs,dwrdt= μ(λdriqs − λqrids) −TLJ,dθdt= wr + ηLmiqsλdr= we,Te = μ(λdriqs − λqrids)(4)with constants defined as follows:μ = npJ, η = RrLm, σ = 1−LmLs, β =1Ll,γ = Rs + RrLl, Ls = Ll + Lm,where np is the number of poles pairs, J is the inertia of therotor. The motor parameters Lm, Ll, Rs, Rr were estimatedoffline [4]. Equation (5) shows the mappings between theparameters of the motor and the operating conditions (ids,iqs).Lm = a1i2ds + a2ids + a3, Ll = b1Is + b2,Rr = c1iqs + c2.(5)4 Sensorless torque control system designA simplified block diagram of the control diagram isshown in Fig. Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46Fig. 3 Control PI controller based FOC designThe PI controller is based on the Field Oriented Controller(FOC) scheme. When Te = Teref, λdr = λref , andλqr = 0 in synchronously rotating reference frame (d − q),the following FOC equations can be derived from the equations(4).⎧⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎩ids = λrefLm+ λrefRr,iqs = Terefnpλref,we = wr + ηLmiqsλref.(6)From the Equation (6), the FOC controller has lower performancein the presence of parameter uncertainties, especiallyin a HEV application due to its inherent open loopdesign. Since the rotor flux dynamics in synchronous referenceframe (λq = 0) are linear and only dependent on thed-current input, the controller can be improved by addingtwo PI regulators on error signals λref − λdr and λqr − 0 asfollowids = λrefLm+ λrefRr+ KPd(λref − λdr)+KId (λref − λdr)dt, (7)iqs = Terefnpλref, (8)we = wr + ηLmiqsλref+ KPqλqr + KIq λqrdt. (9)The Equation (7) and (9) show that current (ids) can controlthe rotor flux magnitude and the speed of the d − q rotatingreference frame (we) can control its orientation correctlywith less sensitivity to motor parameter variations becauseof the two PI Stator voltage decoupling designBased on scalar decoupling theory [5], the stator voltagescommands are given in the form:⎧⎪⎪⎪⎨⎪⎪⎪⎩Uds = Rsids − weσLsiqs = Rsids − weLliqs,Uqs = Rsiqs + weσLsids + LmLrweλref= Rsiqs + weσLsids + weλref .(10)Because of fast and good flux tracking, poor dynamics decouplingperformance exerts less effect on the control Speed-flux observer designBased on the theory of negative feedback, the design ofspeed-flux observer must be robust to motor parameter speed-flux observer here is based on the slidingmode technique described in [6∼8]. The observer equationsare based on the induction motor current and flux equationsin stationary reference frame.⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩d˜idsdt= ηβ˜λdr + β ˜ wr˜λqr − γ˜ids +1LlVds,d˜iqsdt= −β ˜ wr˜λdr + ηβ˜λqr − γ˜iqs +1LlVqs,d˜λdrdt= −η˜λdr − ˜ wr˜λqr + ηLm˜ids,d˜λqrdt= ˜wr˜λ dr − η˜λqr + ηLm˜iqs.(11)Define a sliding surface as:s = (˜iqs − iqs)˜λdr − (˜ids − ids)˜λqr. (12)Let a Lyapunov function beV = . (13)After some algebraic derivation, it can be found that when˜ wr = w0sgn(s) with w0 chosen large enough at all time,then ˙V = ˙s · s 0. This shows that s will converge tozero in a finite time, implying the stator current estimatesand rotor flux estimates will converge to their real valuesin a finite time [8]. To find the equivalent value of estimatewr (the smoothed estimate of speed, since estimate wr is aswitching function), the equation must be solved [8]. Thisyields:˜ weq = wr˜λqrλqr + λdr˜λdr˜λ2qr +˜λ2dr −ηnp˜λqrλdr − λqr˜λdr˜λ2qr +˜λ2dr. (14)The equation implies that if the flux estimates converge totheir real values, the equivalent speed will be equal to thereal speed. But the Equation (14) for equivalent speed cannotbe used as given in the observer since it contains unknownterms. A low pass filter is used instead,˜ weq =11 + s · τ˜ wr. (15)Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46 45The same low pass filter is also introduced to the systeminput,which guarantees that the input matches the feedbackin selection of the speed gain w0 has two major constraints:1) The gain has to be large enough to insure that slidingmode can be ) A very large gain can yield to instability of the simulations, an adaptive gain of the slidingmode observer to the equivalent speed is = k1 ˜ weq + k2. (16)From Equation (11), the sliding mode observer structureallows for the simultaneous observation of rotor Flux reference optimal designThe flux reference can either be left constant or modifiedto accomplish certain requirements (minimum current,maximum efficiency, field weakening) [9,10]. In this paper,the flux reference is chosen to maximum efficiency at steadystate and is weaken for speeds above rated. The optimal efficiencyflux can be calculated as a function of the torquereference [9].λdr−opt = |Teref| · 4Rs · L2r/L2m + Rr. (17)Equation (17) states that if the torque request Teref iszero, Equation (8) presents a singularity. Moreover, theanalysis of Equation (17) does not consider the flux fact, for speeds above rated, it is necessary toweaken the flux so that the supply voltage limits are not improved optimum flux reference is then calculatedas:⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩λref = λdr-opt,if λmin λdr-opt λdr-rated ·wratedwr-actual,λref = λmin, if λdr-opt λmin,λref = λdr-rated ·wratedwr-actual,if λdr-opt λdr-rated ·wratedwr-actual.(18)where λmin is a minimum value to avoid the division SimulationsThe rated parameters of the motor used in the simulationsare given byRs = Ω, Rr = Ω, Lls = 75 H,Llr = 105 H, Lm = mH, Ls = Lls + Lm,Lr = Llr + Lm, P = 4, Jmot = kgm2,J = Jmot +MR2tire/Rf, ρair = , Cd = = m2, Rf = , Cr = = m, M = 3000 kg, wbase = 5400 rpm,λdr−rated = shows the torque reference curve that representstypical operating behaviors in a hybrid electric . 4 The torque reference torque is modeled by considering the aerodynamic,rolling resistance and road grade forces. Its expression isgiven byTL = RtireRf(12ρairCdAfv2 +MCr cos αg +M sin αg).Figures in [5∼8] show the simulation results of thesystem of (considering variable motor parameters).Though a small estimation error can be noticed on the observedfluxes and speed, the torque tracking is still achievedat an acceptable level as shown in Figs. [5, 6, 8]. The torquecontrol over a wide range of speed presents less sensitivityto motor parameters presents the d and q components of the rotor flux λr is precisely orientated to d-axis because of theimproved PI shows clearly the real and observed speed in thedifferent phases of acceleration, constant and decelerationspeed with the motor control torque of . The variablemodel parameters exert less influence on speed shows the power loss when the rotor flux keeps constantor optimal state. A significant improvement in powerlosses is noticed due to reducing the flux reference duringthe periods of low torque . 5 Motor rotor flux λ Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46Fig. 6 Motor . 7 Power . 8 Motor ConclusionsThis paper has described a sensorless torque control systemfor a high-performance induction motor drive for aHEV case. The system allows for fast and good torquetracking over a wide range of speed even in the presence ofmotor parameters uncertainty. In this paper, the improvedPI-based FOC controllers show a good performance in therotor flux λdr magnitude and its orientation tracking. Thespeed-flux observer described here is based on the slidingmode technique, making it independent of the motor adaptation of the speed -flux observer is used tostabilize the observer when integration errors are present.
与<<"电机学"网络教学辅助系统>>相似的文献。 对比式教学法在电机教学中的应用 Application of Contrast Method in Electric Machine Teaching [湖南工程学院学报（自然科学版） Journal of Hunan Institute of Engineering(Natural Science Edition)] 刘少克 校园网教学信息系统 The Campus Net Information System of Teaching [辽宁省交通高等专科学校学报 Journal of Liaoning Provincial College of Communications] 孔繁瑞 , 李瑶 辅助教学网站自动生成系统的设计与实现 Design and Realization of Auto Formed System on Aid Teaching Net [南平师专学报 Journal of Nanping Teachers College] 黄清虎 , HUANG Qinghu 网络辅助教学系统的设计和安全性实施 The Design and Security Implementation of a Network Assistant Teaching System [三明学院学报 Journal of Sanming College] 陈欣敏 , CHEN Xin-min 机电能量转换多媒体计算机辅助教学系统概述 Survey of MCAI System of Conversion of Mechanical and Electrical Energy [微电机 Micromotors] 窦晓霞 探究式多媒体网络教学系统的研制 Development and cognition on net teaching system with the features of discovery and multimedia [高等工程教育研究 Research in Higher Education of Engineering] 陈晓 , 杨振坤 , 汪琼燕 , 张祝林 , 伍辉华 电机学教学方法初探 Discussion on Teaching Method Improvement in Electric Machine Course [电机技术 Electrical Machinery Technology] 薛迎成 , Xue Yingchen 电力系统故障分析的计算机辅助教学系统 Computer-assistant Teaching System for Electric System Fault Analysis [东北电力技术 Northeast Electric Power Technology] 魏臻珠 开放教育教学中心网络教学系统设计之管见 My Idea On Net- work Teaching System in Open Teaching & Learning Center [陕西广播电视大学学报 Shaanxi Radio and TV University Journal] 王力强 电力电子技术发展对电机类教学内容的影响 Influence on Teaching Content of Electric Machine Fields with the Development of Power Electronic Technology [电气电子教学学报 Journal of Electrical & Electronic Education] 李辉 谈谈电机教学中的类比法 The Comparing Method in Teaching Electric Machine [广东水利电力职业技术学院学报 Journal of Guangdong Technical College of Water Resources and Electric Engineering] 陈吉芳 大学数学课程网络教学系统建设的探讨 On the Construction of Mathematics Net Teaching System in University [石家庄铁路职业技术学院学报 Journal of Shijiazhuang Institute of Railway Technology] 赵晓青 , 戎晓剑 , Zhao Xiaoqing , Rong Xiaojian 电机学教学方法的创新探索与实践 Exploration and Practice in the Teaching Methods of "Electric Engineering" [中国电力教育 China Electric Power Education] 王艾萌 《电机拖动与控制》教学模式的改革 The Reform of Teaching Pattern in Electric Machine Motor and Control [常州信息职业技术学院学报 Journal of Changzhou Vocational College of Information Technology] 王丽琴 基于PC的教学型数控铣床实验系统设计 Design of Numerical Control of Milling Machine Experiment System for Teaching Based on PC [机械与电子 Machinery & Electronics] 丛红 , 董爱梅
啊,我才小学
[1]杨华.浅议企业的税务筹划[J].财会通讯(理财版),2007,(01).[2]马慧.税务筹划浅谈[J].中国管理信息化,2007,(01).[1]李莹莹.集团公司税收筹划研究[D].哈尔滨理工大学,2007.[1]薛武昭.浅议税收筹划在企业收益分配决策中的应用[J].技术与市场,2008,(01).[1]邵凌云.税收筹划:宏观、中观和微观分析[J].滁州学院学报,2008,(05).[2]秦莉.税收筹划与纳税新课题[J].当代经济(下半月),2008,(04).[3]何霞.纳税筹划在企业利润分配中的应用研究[J].湖南工程学院学报(社会科学版),2006,(01).[4]李倩.税收筹划的成本分析[J].甘肃农业,2006,(07).[5]刘涛,孟卫东.企业税收筹划的组合效应分析[J].重庆大学学报(自然科学版),2004,(03).[6]张磊,邵伟才.不确定性视角下的企业税收筹划研究[J].福建商业高等专科学校学报,2008,(05).[7]赵珊花.企业税务筹划风险与控制[J].财会月刊,2005,(14).[8]彭海艳.浅谈固定资产的税收筹划[J].财经科学,2003,(S1).[9]姚琴,张锐.税收筹划在企业财务管理中的运用[J].财经科学,2002,(S2).[10]马强.企业纳税筹划成本收益分析[J].科技情报开发与经济,2007,(32).[1]鹿美遥.有效税收筹划框架的概述及其启示[J].西南政法大学学报,2005,(05).[2]范宝学.关于企业税收筹划的探讨[J].中国财政,2003,(03).
英语写作网上可能会有
与<<"电机学"网络教学辅助系统>>相似的文献。 对比式教学法在电机教学中的应用 Application of Contrast Method in Electric Machine Teaching [湖南工程学院学报（自然科学版） Journal of Hunan Institute of Engineering(Natural Science Edition)] 刘少克 校园网教学信息系统 The Campus Net Information System of Teaching [辽宁省交通高等专科学校学报 Journal of Liaoning Provincial College of Communications] 孔繁瑞 , 李瑶 辅助教学网站自动生成系统的设计与实现 Design and Realization of Auto Formed System on Aid Teaching Net [南平师专学报 Journal of Nanping Teachers College] 黄清虎 , HUANG Qinghu 网络辅助教学系统的设计和安全性实施 The Design and Security Implementation of a Network Assistant Teaching System [三明学院学报 Journal of Sanming College] 陈欣敏 , CHEN Xin-min 机电能量转换多媒体计算机辅助教学系统概述 Survey of MCAI System of Conversion of Mechanical and Electrical Energy [微电机 Micromotors] 窦晓霞 探究式多媒体网络教学系统的研制 Development and cognition on net teaching system with the features of discovery and multimedia [高等工程教育研究 Research in Higher Education of Engineering] 陈晓 , 杨振坤 , 汪琼燕 , 张祝林 , 伍辉华 电机学教学方法初探 Discussion on Teaching Method Improvement in Electric Machine Course [电机技术 Electrical Machinery Technology] 薛迎成 , Xue Yingchen 电力系统故障分析的计算机辅助教学系统 Computer-assistant Teaching System for Electric System Fault Analysis [东北电力技术 Northeast Electric Power Technology] 魏臻珠 开放教育教学中心网络教学系统设计之管见 My Idea On Net- work Teaching System in Open Teaching & Learning Center [陕西广播电视大学学报 Shaanxi Radio and TV University Journal] 王力强 电力电子技术发展对电机类教学内容的影响 Influence on Teaching Content of Electric Machine Fields with the Development of Power Electronic Technology [电气电子教学学报 Journal of Electrical & Electronic Education] 李辉 谈谈电机教学中的类比法 The Comparing Method in Teaching Electric Machine [广东水利电力职业技术学院学报 Journal of Guangdong Technical College of Water Resources and Electric Engineering] 陈吉芳 大学数学课程网络教学系统建设的探讨 On the Construction of Mathematics Net Teaching System in University [石家庄铁路职业技术学院学报 Journal of Shijiazhuang Institute of Railway Technology] 赵晓青 , 戎晓剑 , Zhao Xiaoqing , Rong Xiaojian 电机学教学方法的创新探索与实践 Exploration and Practice in the Teaching Methods of "Electric Engineering" [中国电力教育 China Electric Power Education] 王艾萌 《电机拖动与控制》教学模式的改革 The Reform of Teaching Pattern in Electric Machine Motor and Control [常州信息职业技术学院学报 Journal of Changzhou Vocational College of Information Technology] 王丽琴 基于PC的教学型数控铣床实验系统设计 Design of Numerical Control of Milling Machine Experiment System for Teaching Based on PC [机械与电子 Machinery & Electronics] 丛红 , 董爱梅
啊,我才小学
湖南工学院是二本。
湖南工学院坐落于湖南省衡阳市，是2007年经教育部批准由湖南建材高等专科学校和湖南大学衡阳分校合并升格的省属公办普通本科院校，2010年3月湖南工业科技职工大学整体并入，是全国实施“卓越工程师教育培养计划”最年轻的本科院校,是湖南省硕士学位授予立项建设单位。
学校设有18个二级教学院（部）、18个党政管理机构、3个党群组织、9个直属单位，45个本科专业。其中，国家一流本科专业建设点和特色专业4个，教育部“卓越计划”试点专业3个，省特色专业和重点资助建设专业4个，湖南省一流专业建设点和综合改革试点专业14个，通过教育部高等教育教学认证中心的工程教育认证专业1个。
师资队伍：
学校现有全日制在校学生19466人。有教职工1320人，其中正高职称112人（教授100人），副高职称312人（副教授206人），博、硕士908人。有享受国务院政府特殊津贴专家6人、湖南省新世纪“121人才工程”第一、二、三层次人选6人。
以上内容参考：湖南工学院官网——学校简介
这本学报最好联系杂志社直接投稿，有人冒充是杂志社编辑，书已经出刊了确一直没收到期刊 电话问编辑那边根本没我的文章 可笑的是冒充谁内编辑的这个人还发了份电子版清样给我，已经与杂志社核实 是人的，谨慎等不退款给我再曝光他的QQ号姓名 银行账号，并提交证据到公安机关
Sensorless torque control scheme ofinduction motor for hybrid electric vehicleYan LIU 1,2, Cheng SHAO1( Institute of Advanced Control Technology, Dalian University of Technology, Dalian Liaoning 116024, China; of Information Engineering of Dalian University, Dalian Liaoning 116622, China)Abstract: In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehicle(HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrialdrive system, the conventional field-oriented control (FOC) provides poor performance. Therefore, a new robust PI-basedextension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed inorder to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme isrobust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor ischosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy lossesshown by : Hybrid electric vehicle; Induction motor; Torque tracking; Sliding mode1 IntroductionBeing confronted by the lack of energy and the increasinglyserious pollution, the automobile industry is seekingcleaner and more energy-efficient Hybrid ElectricVehicle (HEV) is one of the solutions. A HEV comprisesboth a Combustion Engine (CE) and an Electric Motor(EM). The coupling of these two components can be inparallel or in series. The most common type of HEV is theparallel type, in which both CE and EM contribute to thetraction force that moves the vehicle. Fig1 presents a diagramof the propulsion system of a parallel HEV [1].Fig. 1 Parallel HEV automobile propulsion order to have lower energy consumption and lower pollutantemissions, in a parallel HEV the CE is commonlyemployed at the state (n > 40 km/h or an emergency speedup), while the electric motor is operated at various operatingconditions and transient to supply the difference in torquebetween the torque command and the torque supplied bythe CE. Therefore fast and precise torque tracking of an EMover a wide range of speed is crucial for the overall performanceof a induction motor is well suited for the HEV applicationbecause of its robustness, low maintenance and lowprice. However, the development of a drive system basedon the induction motor is not straightforward because of thecomplexity of the control problem involved in the IM. Furthermore,motor parameter variations in HEV applicationsare larger than in industrial drive system during operation[2]. The conventional control technique ranging from theinexpensive constant voltage/frequency ratio strategy to thesophisticated sensorless control schemes are mostly ineffectivewhere accurate torque tracking is required due to theirdrawbacks, which are sensitive to change of the parametersof the general, a HEV operation can be continuing smoothlyfor the case of sensor failure, it is of significant to developsensorless control algorithms. In this paper, the developmentof a sensorless robust torque control system for HEVapplications is proposed. The field oriented control of the inductionmotor is commonly employed in HEV applicationsdue to its relative good dynamic response. However the classical(PI-based) field oriented control (CFOC) is sensitive toparameter variations and needs tuning of at least six controlparameters (a minimum of 3 PI controller gains). An improvedrobust PI-based controller is designed in this paper,Received 5 January 2005; revised 20 September work was supported in part by State Science and Technology Pursuing Project of China (No. 2001BA204B01).Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46 43which has less controller parameters to be tuned, and is robustto parameter variable parameters modelof the motor is considered and its parameters are continuouslyupdated while the motor is operating. Speed andflux observers are needed for the schemes. In this paper,the speed-flux observer is based on the sliding mode techniquedue to its superior robustness properties. The slidingmode observer structure allows for the simultaneous observationof rotor fluxes and rotor speed. Minimization of theconsumed energy is also considered by optimizing operatingflux of the The control problem in a HEV caseThe performance of electric drive system is one of thekey problems in a HEV application. Although the requirementsof various HEV drive system are different, all thesedrive systems are kinds of torque control systems. For anideal HEV, the torque requested by the supervisor controllermust be accurate and efficient. Another requirement is tomake the rotor flux track a certain reference λref . The referenceis commonly set to a value that generates maximumtorque and avoids magnetic saturation, and is weakened tolimit stator currents and voltages as rotor speed HEV applications, however, the flux reference is selectedto minimize the consumption of electrical energy as it is oneof the primary objectives in HEV applications. The controlproblem can therefore be stated as the following torque andflux tracking problems:minids,iqs,we Te(t) − Teref (t), (1)minids,iqs,we λdr(t) − λref (t), (2)minids,iqs,we λqr(t), (3)where λref is selected to minimize the consumption of electricalenergy. Teref is the torque command issued by thesupervisory controller while Te is the actual motor (3) reflects the constraint of field orientation commonlyencountered in the literature. In addition, for a HEVapplication the operating conditions will vary changes of parameters of the IM model need to be accountedfor in control due to they will considerably changeas the motor changes operating A variable parameters model of inductionmotor for HEV applicationsTo reduce the elements of storage (inductances), the inductionmotor model used in this research in stationary referenceframe is the Γ-model. Fig. 2 shows its q-axis (d-axisare similar). As noted in [3], the model is identical (withoutany loss of information) to the more common T-model inwhich the leakage inductance is separated in stator and rotorleakage [3]. With respect to the classical model, the newparameters are:Lm = L2mLr= γLm, Ll = Lls + γLlr,Rr = γ. 2 Induction motor model in stationary reference frame (q-axis).The following basic w−λr−is equations in synchronouslyrotating reference frame (d - q) can be derived from theabove model.⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩dλdrdt= −ηλdr + (we − wr)λqr + ηLmids,dλqrdt= −(we − wr)λdr − ηλqr + ηLmiqs,didsdt= ηβλdr+βwrλqr−γids+weiqs+1σLsVds,diqsdt=−βwrλdr+ηβλqr−weids−γiqs+1σLsVqs,dwrdt= μ(λdriqs − λqrids) −TLJ,dθdt= wr + ηLmiqsλdr= we,Te = μ(λdriqs − λqrids)(4)with constants defined as follows:μ = npJ, η = RrLm, σ = 1−LmLs, β =1Ll,γ = Rs + RrLl, Ls = Ll + Lm,where np is the number of poles pairs, J is the inertia of therotor. The motor parameters Lm, Ll, Rs, Rr were estimatedoffline [4]. Equation (5) shows the mappings between theparameters of the motor and the operating conditions (ids,iqs).Lm = a1i2ds + a2ids + a3, Ll = b1Is + b2,Rr = c1iqs + c2.(5)4 Sensorless torque control system designA simplified block diagram of the control diagram isshown in Fig. Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46Fig. 3 Control PI controller based FOC designThe PI controller is based on the Field Oriented Controller(FOC) scheme. When Te = Teref, λdr = λref , andλqr = 0 in synchronously rotating reference frame (d − q),the following FOC equations can be derived from the equations(4).⎧⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎩ids = λrefLm+ λrefRr,iqs = Terefnpλref,we = wr + ηLmiqsλref.(6)From the Equation (6), the FOC controller has lower performancein the presence of parameter uncertainties, especiallyin a HEV application due to its inherent open loopdesign. Since the rotor flux dynamics in synchronous referenceframe (λq = 0) are linear and only dependent on thed-current input, the controller can be improved by addingtwo PI regulators on error signals λref − λdr and λqr − 0 asfollowids = λrefLm+ λrefRr+ KPd(λref − λdr)+KId (λref − λdr)dt, (7)iqs = Terefnpλref, (8)we = wr + ηLmiqsλref+ KPqλqr + KIq λqrdt. (9)The Equation (7) and (9) show that current (ids) can controlthe rotor flux magnitude and the speed of the d − q rotatingreference frame (we) can control its orientation correctlywith less sensitivity to motor parameter variations becauseof the two PI Stator voltage decoupling designBased on scalar decoupling theory [5], the stator voltagescommands are given in the form:⎧⎪⎪⎪⎨⎪⎪⎪⎩Uds = Rsids − weσLsiqs = Rsids − weLliqs,Uqs = Rsiqs + weσLsids + LmLrweλref= Rsiqs + weσLsids + weλref .(10)Because of fast and good flux tracking, poor dynamics decouplingperformance exerts less effect on the control Speed-flux observer designBased on the theory of negative feedback, the design ofspeed-flux observer must be robust to motor parameter speed-flux observer here is based on the slidingmode technique described in [6∼8]. The observer equationsare based on the induction motor current and flux equationsin stationary reference frame.⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩d˜idsdt= ηβ˜λdr + β ˜ wr˜λqr − γ˜ids +1LlVds,d˜iqsdt= −β ˜ wr˜λdr + ηβ˜λqr − γ˜iqs +1LlVqs,d˜λdrdt= −η˜λdr − ˜ wr˜λqr + ηLm˜ids,d˜λqrdt= ˜wr˜λ dr − η˜λqr + ηLm˜iqs.(11)Define a sliding surface as:s = (˜iqs − iqs)˜λdr − (˜ids − ids)˜λqr. (12)Let a Lyapunov function beV = . (13)After some algebraic derivation, it can be found that when˜ wr = w0sgn(s) with w0 chosen large enough at all time,then ˙V = ˙s · s 0. This shows that s will converge tozero in a finite time, implying the stator current estimatesand rotor flux estimates will converge to their real valuesin a finite time [8]. To find the equivalent value of estimatewr (the smoothed estimate of speed, since estimate wr is aswitching function), the equation must be solved [8]. Thisyields:˜ weq = wr˜λqrλqr + λdr˜λdr˜λ2qr +˜λ2dr −ηnp˜λqrλdr − λqr˜λdr˜λ2qr +˜λ2dr. (14)The equation implies that if the flux estimates converge totheir real values, the equivalent speed will be equal to thereal speed. But the Equation (14) for equivalent speed cannotbe used as given in the observer since it contains unknownterms. A low pass filter is used instead,˜ weq =11 + s · τ˜ wr. (15)Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46 45The same low pass filter is also introduced to the systeminput,which guarantees that the input matches the feedbackin selection of the speed gain w0 has two major constraints:1) The gain has to be large enough to insure that slidingmode can be ) A very large gain can yield to instability of the simulations, an adaptive gain of the slidingmode observer to the equivalent speed is = k1 ˜ weq + k2. (16)From Equation (11), the sliding mode observer structureallows for the simultaneous observation of rotor Flux reference optimal designThe flux reference can either be left constant or modifiedto accomplish certain requirements (minimum current,maximum efficiency, field weakening) [9,10]. In this paper,the flux reference is chosen to maximum efficiency at steadystate and is weaken for speeds above rated. The optimal efficiencyflux can be calculated as a function of the torquereference [9].λdr−opt = |Teref| · 4Rs · L2r/L2m + Rr. (17)Equation (17) states that if the torque request Teref iszero, Equation (8) presents a singularity. Moreover, theanalysis of Equation (17) does not consider the flux fact, for speeds above rated, it is necessary toweaken the flux so that the supply voltage limits are not improved optimum flux reference is then calculatedas:⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩λref = λdr-opt,if λmin λdr-opt λdr-rated ·wratedwr-actual,λref = λmin, if λdr-opt λmin,λref = λdr-rated ·wratedwr-actual,if λdr-opt λdr-rated ·wratedwr-actual.(18)where λmin is a minimum value to avoid the division SimulationsThe rated parameters of the motor used in the simulationsare given byRs = Ω, Rr = Ω, Lls = 75 H,Llr = 105 H, Lm = mH, Ls = Lls + Lm,Lr = Llr + Lm, P = 4, Jmot = kgm2,J = Jmot +MR2tire/Rf, ρair = , Cd = = m2, Rf = , Cr = = m, M = 3000 kg, wbase = 5400 rpm,λdr−rated = shows the torque reference curve that representstypical operating behaviors in a hybrid electric . 4 The torque reference torque is modeled by considering the aerodynamic,rolling resistance and road grade forces. Its expression isgiven byTL = RtireRf(12ρairCdAfv2 +MCr cos αg +M sin αg).Figures in [5∼8] show the simulation results of thesystem of (considering variable motor parameters).Though a small estimation error can be noticed on the observedfluxes and speed, the torque tracking is still achievedat an acceptable level as shown in Figs. [5, 6, 8]. The torquecontrol over a wide range of speed presents less sensitivityto motor parameters presents the d and q components of the rotor flux λr is precisely orientated to d-axis because of theimproved PI shows clearly the real and observed speed in thedifferent phases of acceleration, constant and decelerationspeed with the motor control torque of . The variablemodel parameters exert less influence on speed shows the power loss when the rotor flux keeps constantor optimal state. A significant improvement in powerlosses is noticed due to reducing the flux reference duringthe periods of low torque . 5 Motor rotor flux λ Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46Fig. 6 Motor . 7 Power . 8 Motor ConclusionsThis paper has described a sensorless torque control systemfor a high-performance induction motor drive for aHEV case. The system allows for fast and good torquetracking over a wide range of speed even in the presence ofmotor parameters uncertainty. In this paper, the improvedPI-based FOC controllers show a good performance in therotor flux λdr magnitude and its orientation tracking. Thespeed-flux observer described here is based on the slidingmode technique, making it independent of the motor adaptation of the speed -flux observer is used tostabilize the observer when integration errors are present.
与<<"电机学"网络教学辅助系统>>相似的文献。 对比式教学法在电机教学中的应用 Application of Contrast Method in Electric Machine Teaching [湖南工程学院学报（自然科学版） Journal of Hunan Institute of Engineering(Natural Science Edition)] 刘少克 校园网教学信息系统 The Campus Net Information System of Teaching [辽宁省交通高等专科学校学报 Journal of Liaoning Provincial College of Communications] 孔繁瑞 , 李瑶 辅助教学网站自动生成系统的设计与实现 Design and Realization of Auto Formed System on Aid Teaching Net [南平师专学报 Journal of Nanping Teachers College] 黄清虎 , HUANG Qinghu 网络辅助教学系统的设计和安全性实施 The Design and Security Implementation of a Network Assistant Teaching System [三明学院学报 Journal of Sanming College] 陈欣敏 , CHEN Xin-min 机电能量转换多媒体计算机辅助教学系统概述 Survey of MCAI System of Conversion of Mechanical and Electrical Energy [微电机 Micromotors] 窦晓霞 探究式多媒体网络教学系统的研制 Development and cognition on net teaching system with the features of discovery and multimedia [高等工程教育研究 Research in Higher Education of Engineering] 陈晓 , 杨振坤 , 汪琼燕 , 张祝林 , 伍辉华 电机学教学方法初探 Discussion on Teaching Method Improvement in Electric Machine Course [电机技术 Electrical Machinery Technology] 薛迎成 , Xue Yingchen 电力系统故障分析的计算机辅助教学系统 Computer-assistant Teaching System for Electric System Fault Analysis [东北电力技术 Northeast Electric Power Technology] 魏臻珠 开放教育教学中心网络教学系统设计之管见 My Idea On Net- work Teaching System in Open Teaching & Learning Center [陕西广播电视大学学报 Shaanxi Radio and TV University Journal] 王力强 电力电子技术发展对电机类教学内容的影响 Influence on Teaching Content of Electric Machine Fields with the Development of Power Electronic Technology [电气电子教学学报 Journal of Electrical & Electronic Education] 李辉 谈谈电机教学中的类比法 The Comparing Method in Teaching Electric Machine [广东水利电力职业技术学院学报 Journal of Guangdong Technical College of Water Resources and Electric Engineering] 陈吉芳 大学数学课程网络教学系统建设的探讨 On the Construction of Mathematics Net Teaching System in University [石家庄铁路职业技术学院学报 Journal of Shijiazhuang Institute of Railway Technology] 赵晓青 , 戎晓剑 , Zhao Xiaoqing , Rong Xiaojian 电机学教学方法的创新探索与实践 Exploration and Practice in the Teaching Methods of "Electric Engineering" [中国电力教育 China Electric Power Education] 王艾萌 《电机拖动与控制》教学模式的改革 The Reform of Teaching Pattern in Electric Machine Motor and Control [常州信息职业技术学院学报 Journal of Changzhou Vocational College of Information Technology] 王丽琴 基于PC的教学型数控铣床实验系统设计 Design of Numerical Control of Milling Machine Experiment System for Teaching Based on PC [机械与电子 Machinery & Electronics] 丛红 , 董爱梅
营销策划论文参考文献
导语：营销策划论文的参考文献有哪些呢?营销策划有助于企业的可持续的发展。下面是我分享的营销策划论文的参考文献，欢迎阅读!
[1] 段小明，胡波，郑兴华，解晋东. 化妆品市场现状及发展趋势分析[J]. 日用化学品科学. 2013(11)
[2] 董维维，庄贵军. 中国营销渠道中关系营销导向对企业关系型治理的影响[J]. 管理学报. 2013(10)
[3] 杨惠. 国外品牌轴承在中国市场的渠道管理浅析[J]. 市场周刊(理论研究). 2013(05)
[4] 李杨. 营销渠道理论综述[J]. 经营管理者. 2013(06)
[5] 石凯鸣. 内外超市企业竞争力差异的比较分析[J]. 现代营销(学苑版). 2012(10)
[6] 刘小莲. 我国企业品牌国际化经营战略策略探索[J]. 长春教育学院学报. 2012(06)
[7] 瞿莉娜. 现代企业营销渠道体系的整合与创新途径[J]. 现代营销(学苑版). 2012(05)
[8] 郭华山，赵毅. 国内外化妆品市场观察[J]. 日用化学品科学. 2012(04)
[9] 杨柏超. 我国化妆品行业网络营销问题和对策探析[J]. 现代商贸工业. 2012(03)
[10] 赵陈婷，岳彩周，陈岳峰. 本土化妆品连锁路在何方[J]. 中国连锁. 2011(10)
[11] 闫欣洁. 浅析国内化妆品市场的'消费现状与趋势[J]. 经营管理者. 2011(09)
[12] 陈强. 国内外化妆品市场分析[J]. 日用化学品科学. 2011(01)
[13] 陆鹏，文华. 中国高端百货与高端化妆品对弈中的华丽转身[J]. 中国化妆品(行业). 2010(03)
[14] 陆文. 基于供应链管理的营销渠道研究[J]. 现代经济信息. 2010(02)
[15] Tony. 大卖场超市逼宫化妆品专营店[J]. 医学美学美容(财智). 2009(11)
[16] 刘伟，金远平. 基于J2EE的渠道信息管理系统的设计与实现[J]. 科技资讯. 2009(10)
[17] 本刊编辑部，张萍，郭俊. 2007,中国化妆品法规年--年度化妆品行业法规大事记[J]. 中国化妆品(行业). 2008(01)
[18] 龚振，陆巍，钟爱群. 基于渠道权力的营销渠道结构整合[J]. 商业时代. 2006(11)
[19] 范小军，陈洁，陆芝青. 营销渠道变革与模式选择研究理论述评[J]. 企业经济. 2006(03)
[20] 杨晶，江红红. Super Mario勇闯第一关：怎么管理经销商?[J]. 现代营销(学苑版). 2005(11)
[21] 朱桂平. 客户关系管理与分销渠道整合[J]. 商业时代. 2005(24)
[22] 赵晓飞. 营销渠道的选择及评价标准研究[J]. 市场研究. 2005(08)
[23] 张继明. 从药店到俱乐部--畅谈化妆品营销模式最新走向[J]. 日用化学品科学. 2005(05)
[24] 贺艳春，张志海. 营销渠道结构演变的理性分析[J]. 湖南工程学院学报(社会科学版). 2002(03)
[25] 冯赳善. 我国化妆品监督管理问题分析及对策研究[D]. 华东师范大学 2011
[26] 李南. 我国化妆品安全监管体制的现状与对策研究[D]. 广州中医药大学 2011
[27] 王佳蕾. 上海莱姿化妆品有限公司营销战略研究[D]. 厦门大学 2006
[28] 吴丹青. 泉州市化妆品安全问题及其治理研究[D]. 华侨大学 2014
[29] 董冰心. 特殊用途化妆品现状及监管研究[D]. 北京中医药大学 2011
[30] 袁铮. 化妆品营销渠道研究[D]. 四川大学 2003
[31] 苗丹. 化妆品购买行为偏好研究[D]. 渤海大学 2013
[1] 弗雷德·R·戴维着. 战略管理[M]. 北京. 经济科学出版社， 2006.
[2] 斯蒂芬. P. 罗宾斯着. 管理学. 中国人民出版社， 2002.
[3] 邓胜梁， 许绍李， 张庚森着. 市场营销管理： 理论与策略. 上海人民出版社， 1997: 270-271.
[4] Louise. Boone, David. Kurtz. 当代市场营销学. 机械工业出版社， 2005.
[5] 李睿. 我国市场营销渠道管理创新研究. 现代商业， 2009, (6)： 96-97.
[6] 段玉英. 市场营销调研探讨[J]. 前沿， 2005(9)： 97.
[7] 杨淑红. 浅析我国市场营销的现状及发展趋势. 科技资讯， 2007. 12.
[8] 王国栋. 营销理论的历史和未来, 江苏商论, 2005, (11): 60-61.
[9] 肖凤桢， 韦秀长. 4P 真的过时了吗. 经济师， 2003,(6)： 267.
[10] 杨涛， 葛松林. 企业营销渠道系统创新动因分析. 商业研究， 2000, (5)：91-93.
[11] 伯特·罗森布罗姆着. 营销渠道管理. 李乃和， 莫俊芳等译. 第 6 版， 机械工业出版社， 2003: 140-214.
[12] 菲利普 科特勒等着. 营销渠道管理. 李乃和， 奚俊芳等译. 第 11 版.华夏出版社， 2004.
[13] 臧良运. 关系营销的发展及其实施策略[J]. 商业时代， 2008, (9)： 20.
[14] 刘辉. 基于关系营销的销售策略研究[J]. 经济论坛， 2008, (8)： 15.
【著作】 1996 东大图书公司[台湾] 胡宏 2000 天马图书有限公司[香港] 湖湘经世名贤传[第一主编] 2003 岳麓书社 开创时期的湖湘学派 2004 云南人民出版社 中国哲学的创造性转化[第三主编] 2008 岳麓书社 胡宏著作两种[点校] 2010 岳麓书社 王立新讲《论语》——圣者凡心 2011 岳麓书社 天地大儒王船山 2011 中华书局 时代人物各风流[第二主编] 2011 中华书局 知识人是三大调[第二主编] 2011 中华书局 传统与现代之间[第二主编] 2011 中华书局 人文主义力量[第二主编] 2012 岳麓书社 理学开车周敦颐 2014 北京大学出版社 与道偕行：纪念游建西先生[第一主编] 2014 中国社会科学出版社 从胡文定到王船山：理学在湖南地区的奠立与开展 【论文】 时间（期号） 刊物 文章 1986（S2） 东北林业大学学报 司马迁的历史通变思想探讨 1997（2） 船山学刊 从胡宏到船山——看湘学经世特点的形成与转型 1997（6） 湘潭大学学报 从《知言疑义》的产生看胡宏对朱熹的影响 1998（6） 湖湘论坛 湖湘学派的经世思想——胡安国父子的“经济”之学 1999（1） 湘潭大学学报 三“天”归一——中国古代思想发展的凝缩 1999（3） 长沙电力学院学报 胡宏的教育思想与实践 1999（6） 湘潭大学学报 船山的发现与误读——兼论民族主义之作为动力（第一作者） 2000（3） 湘潭大学学报 兴衰已逝，遗韵长存——湖湘学派及其历史分期 2000（4） 船山学刊 船山人性论及其思想意义 2001（1） 湖湘论坛 胡宏是“超善恶论”者吗？ 2001（1） 湘潭大学学报 “湘学”略论（第一作者） 2002（1） 郧阳师范高等专科学校学报 伦理框架内的法治与德治关系——对儒家德治与法治关系思想的选点式研究 2002（5） 文史哲 闽学与湖湘学 2002（5） 福建论坛 易学与儒学完整关系的新探索——评任俊华《易学与儒学》 2002（5） 湘潭大学学报 孔子的仁、礼观念并及儒家的历史命运 2002（4） 船山学刊 胡安国族系考证 2003（1） 湘潭大学学报 湖湘学派与核心湖湘文化——并及湘潭碧泉、隐山湖湘文化资源 2003（2） 船山学刊 理学家兼诗人——曾几的生平与学术 2003（6） 池州师专学报 南泉普愿禅师的人生智慧及湖湘学派与禅宗的关系 2004（1） 湘潭大学学报 胡安国与程门弟子 2004（3） 湖南科技大学学报 胡门的向氏弟子 2004（2） 湖南工程学院学报 胡安国隐居衡山时期的弟子们 2004（6） 湖南科技大学学报 湖湘学派与佛教 2004（4） 湖南城市学院学报 胡安国隐居碧泉时期的弟子们 2004（5） 湘潭大学学报 胡宏论性的层次和特点 2004（4） 广州社会主义学院学报 如何了解中国的历史传统——以韦政通所著《中国文化概论》为例 2005（9） 湖南科技学院学报 跨越历史的心灵沟通——郭嵩焘对王船山的认识和评价 2006（9） 学术月刊 儒家伦理的当下境遇问题 2011（4） 求是学刊 莱布尼兹和沃尔夫眼中的中国哲学（第二作者） 2011（8） 学术界 论中国哲学最初的“被”冷遇（第二作者） 2011（4） 池州学院学报 个体主体性自由获得的哲学思考（第二作者） 2011（10） 湖南科技学院学报 宋明理学与儒家精神——记王立新教授的一次学术漫谈（第一作者） 2013（7） 湖南科技学院学报 想给老游唱首歌 2013（5） 深圳大学学报 船山与朱子对王猛的评价（第一作者） 2013（5） 湖南师范大学学报 《庄子》论“乐”的伦理学内涵（第二作者） 2014（3） 湖南科技学院学报 儒学研究的回顾与展望——第十届当代新儒学国际学术研讨会会议纪要（第二作者）
基于汽车供应链战略的第三方物流模式研究【摘要】随着经济全球化的愈演愈烈和合作竞争时代的到来，竞争无国界与企业相互渗透的趋势越来越明显，市场竞争实质上已不是单个企业之间的较量，而是供应链与供应链之间的竞争。面对日益激烈的竞争环境，制造企业越来越感到“专注于核心竞争力”的必要性和迫切性，同时基于资源、成本和服务等方面的考虑，物流服务外包需求日趋强烈，第三方物流（Thirdpartylogistics，TPL）得到长足发展，如何使供应链与第三方物流关系获得成功已经成为实业界和学术界共同关注的研究领域。论文通过文献综述和对汽车物流的分析，提出了基于汽车供应链战略的第三方物流模式研究这一重要研究问题，阐述了汽车供应链战略的类别，主要包括精细供应链战略、敏捷供应链战略与混合供应链战略，比较分析了三种战略的特征；重点讨论了供应链与第三方物流的关系以及汽车供应链战略对第三方物流模式的内在要求。在此基础上，建立了汽车供应链战略与第三方物流模式的匹配模型，并着重分析了精细物流、敏捷物流和定制物流三种物流模式的内涵、结构特征及其实施策略。最后，对三种物流模式从战略匹配、管理理念、竞争战略等六个方面进行了比较分析。论文的创新点在于，在汽车供应链战略特点分析、供应链与第三方物流关系讨论的基础上，构建了汽车供应链战略与第三方物流的匹配模型，设计了三种物流模式的实施策略，从战略的角度为供应链管理者选择第三方物流提供商提供了一定的参考与借鉴。关键词：供应链战略第三方物流匹配模型精细物流敏捷物流定制物流你好，我有相关论文资料（博士硕士论文、期刊论文等）可以对你提供相关帮助，需要的话请加我，761399457（抠q），谢谢。
湖南交通工程学院毕业不难的。
湖南交通工程学院是经教育部批准成立的一所全日制普通本科高校，是教育部人才培养工作水平评估优秀院校、省就业一把手工程优秀院校、省文明高校、省园林式单位、省党建工作合格高校；是全国创新创业教育实践实训基地、湖南省出国劳务培训考证基地、湖南省消防培训基地。
学校面向全国招生，现有全日制学生11600人。自办学以来，学校为国家和社会培养10万余名各级各类人才。
近几年，毕业生就业率保持在95%以上，“双证书”拥有率保持在98%以上，学生参加技能鉴定通过率高达92%以上。学校连续5年就业率和就业质量排名均保持在湖南高校第一方阵，多次荣获国家、省就业工作先进单位。
名师荟萃，英才云集：
学校现有教职工877人、其中专任教师612人。构建了一支以博士、教授、海外创新人才、企事业行业精英为主体的专业、职称、年龄等结构合理、团结务实、开拓进取的双师双能型师资队伍。
为加快“双一流”建设，学校开全国高校之先河，高起点、高水平、高标准组建学校“高科技研究院”，聘请国防科大100余名博士教授任职。
以上内容参考：湖南交通工程学院官网——学校简介
还不错。
湖南交通工程学院（Hunan Institute Of Traffic Engineering）位于湖南省衡阳市，是经教育部批准同意成立的全日制普通本科高校。
1991年，衡阳市中南技工学校成立；1998年，被批准为中南科技财经管理中等专业学校；2001年8月，更名为中南科技财经管理专修学院；2014年5月，升格为湖南交通工程学院。
学校荣誉
据2017年1月学校官网显示，学校先后被评为全国民办十大特色院校、全国就业先进院校、湖南省职业教育先进单位、湖南省文明高校和衡阳市对外经济工作先进单位、湖南省优秀基层党组织、湖南省普通高校毕业生就业工作优秀单位。
2009-2012年，连续4年被评为湖南省就业工作优秀单位。
2011年1月，被评为湖南省文明高等学校。
2011年5月，被评为湖南省园林式单位、湖南省党建工作合格高校。
2015年12月，获评2015年度湖南省教育科学研究工作者协会先进会员单位。
以上内容参考：百度百科-湖南交通工程学院