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电动汽车感应电机驱动系统效率优化控制
引用本文:张承慧,崔纳新,李珂,张承进.电动汽车感应电机驱动系统效率优化控制[J].控制理论与应用,2006,23(5):773-778.
作者姓名:张承慧  崔纳新  李珂  张承进
作者单位:山东大学,控制科学与工程学院,山东,济南,250061
基金项目:国家自然科学基金资助项目(50477042,60474007); 高等学校博士学科点专项科研基金资助项目(20040422052); 山东省自然科学基金资助项目(Z2004G04).
摘    要:针对电动汽车感应电动机变频驱动系统存在的轻载低效问题,考虑电机定转子铜损和铁损,研究了感应电动机变频驱动系统效率优化控制算法.采用减小磁链搜索范围的方法,改进了黄金分割法在线搜索控制器,设计了以数字信号处理器TMS320LF2407为控制电路核心的实验系统,对损耗模型控制算法、黄金分割法和改进的黄金分割法在线搜索控制算法分别进行了对比实验研究.实验结果表明,两类控制策略都能够有效提高感应电动机变频驱动系统的运行效率;基于损耗模型的控制算法具有寻优速度快、磁链和转矩波动小的优点,而改进的黄金分割法搜索控制器算法简单,效率优化效果优于基于损耗模型的控制器;在线搜索控制算法不受电机参数变化及建模精度的影响,具有更为广泛的应用前景.

关 键 词:电动汽车  优化控制  效率  感应电动机
文章编号:1000-8152(2006)05-0773-06
收稿时间:2004-06-23
修稿时间:2004-06-232005-10-31

Efficiency optimization control of induction motor drives for electric vehicles
ZHANG Cheng-hui,CUI Na-xin,LI Ke,ZHANG Cheng-jin.Efficiency optimization control of induction motor drives for electric vehicles[J].Control Theory & Applications,2006,23(5):773-778.
Authors:ZHANG Cheng-hui  CUI Na-xin  LI Ke  ZHANG Cheng-jin
Affiliation:College of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China
Abstract:Taking the copper loss and iron loss into account, the efficiency optimization control of induction motor (IM) drives for electric vehicles is studied to improve the motor efficiency under light load. The search-controller based on golden section algorithm is improved by reducing the search scope of rotor flux. An experimental system is built based on TMS320LF2407 DSP. Loss-model control algorithm and search-control algorithm based on golden section method and improved golden section method are compared through experimental research. The experimental results show that both of the control strategies can improve the motor efficiency remarkably. The loss-model controller has good characteristics of fast optimization speed and small torque and flux fluctuation. The algorithm of improved golden section search-controller is simple, and it can achieve higher efficiency than loss-model controller. Search-controller is independent of parameter variations and model precision, and it thus has broad application prospects.
Keywords:electric vehicles  optimal control  efficiency  induction motors
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