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汽车安全与节能学报 ›› 2011, Vol. 2 ›› Issue (3): 237-245.DOI: 10.3969/j.issn.1674-8484.2011.03.009

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Adaptive Control of IPMSM Considering Parameter Variation for Electric Vehicle

王颖男1,Uwe SCHAEFER2     

  • 收稿日期:2011-03-07 出版日期:2011-09-27 发布日期:2011-10-13
  • 通讯作者: Uwe SCHAEFER, Professor of the Chair of Electrical Drives, Berlin University of Technology, Germany;the President of DGES (Duetsch Gesellschaff für Elektrische Strassenfahrzeuge).
  • 作者简介:1.王颖男,WANG Yingnan(1978—) ,男(汉族) ,上海,博士研究生 / PhD student and Scientific Assistant at the Berlin University of Technology, Germany. E-mail: yingnan.wang@iee.tu-berlin.de 2.Uwe SCHAEFER, Professor of the Chair of Electrical Drives, Berlin University of Technology, Germany;the President of DGES (Duetsch Gesellschaff für Elektrische Strassenfahrzeuge). E-mail: uwe.schaefer@iee.tu-berlin.de

Adaptive Control of IPMSM Considering Parameter Variation for Electric Vehicle

 WANG  Ying-Nan1,Uwe SCHAEFER2   

  • Received:2011-03-07 Online:2011-09-27 Published:2011-10-13
  • Contact: Uwe SCHAEFER, Professor of the Chair of Electrical Drives, Berlin University of Technology, Germany;the President of DGES (Duetsch Gesellschaff für Elektrische Strassenfahrzeuge).
  • About author:1.PhD student and Scientific Assistant at the Berlin University of Technology, Germany. 2.Professor of the Chair of Electrical Drives, Berlin University of Technology, Germany;the President of DGES (Duetsch Gesellschaff für Elektrische Strassenfahrzeuge).

摘要: 为提高电动车(EV) 传动系统的整体性能,设计了用于内埋式永磁同步电机(IPMSM) 的自适应控制器。根据IPMSM 的交、直轴电感随着定子电流的变化而变化的特点,为实现最小损耗的电流控制,进行了电机参数的有限元(FEM) 计算。控制器参数被保存在一个二维表中,根据定子电流自行校正电
机的交、直轴电感值,并以查表法获得相应的控制器参数。部分控制系统组件实现在现场可编程门阵列(FPGA)中。结果表明:自适应控制器可以很好地抑制电流的超调,同时由于FPGA 也部分地取代了微控制器的功能,使得该系统具有更快的响应速度。

关键词: 电动汽车(EV), 内埋式永磁同步电机 (IPMSM) , 现场可编程门阵列(FPGA) , 自适应控制, 有限元方法(FEM)

Abstract:  An adaptive controller for the interior permanent magnet synchronous machine (IPMSM) was designed to improve the whole performance of an electric vehicle (EV) drive system, with the fact considered that the d-q axis inductances change with the stator currents. The motor parameters were calculated using finite element method (FEM) to realize the minimum loss current control. The controller parameters such as the adaptive law were saved in a 2D-Table for the self-tuning regulator, which assures that the input variables are the measured stator currents. Some parts of the control system were implemented in the field-programmable gate array (FPGA). The results show that the adaptive controllers can satisfactorily suppress the current overshoot and that the system has faster response time since the FPGA also partially replaces the function of the micro-controller.

Key words: electric vehicle (EV), interior permanent magnet synchronous machine (IPMSM), field-programmable gate array (FPGA), adaptive control, finite element method (FEM)

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