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无刷直流电机调速系统间接模型参考自适应控制
引用本文:纪志成,薛花,董富红.无刷直流电机调速系统间接模型参考自适应控制[J].电机与控制学报,2004,8(3):225-228.
作者姓名:纪志成  薛花  董富红
作者单位:江南大学,电气传动研究所,江苏,无锡,214036
摘    要:对间接模型参考自适应控制在无刷直流电机调速系统中的应用做了深入研究,速度控制器采用间接模型参考自适应控制,控制参数采用基于递推最小二乘法的自适应控制算法,并将间接模型参考自适应控制与常规PI控制进行了比较。结果证明,间接模型参考自适应控制系统有很强的自适应能力和抗负载扰动能力,在系统性能上优于PI控制。

关 键 词:无刷直流电机  调速系统  模型参考  自适应控制  速度控制器
文章编号:1007-449X(2004)03-0225-04
修稿时间:2004年6月10日

Indirect model reference adaptive control on the brushless DC motor speed servo system
JI Zhi-cheng,XUE Hua,DONG Fu-hong Institute of Electric Drive,Southern Yangtze University,Wuxi ,China.Indirect model reference adaptive control on the brushless DC motor speed servo system[J].Electric Machines and Control,2004,8(3):225-228.
Authors:JI Zhi-cheng  XUE Hua  DONG Fu-hong Institute of Electric Drive  Southern Yangtze University  Wuxi  China
Affiliation:JI Zhi-cheng,XUE Hua,DONG Fu-hong Institute of Electric Drive,Southern Yangtze University,Wuxi 214036,China
Abstract:In this paper, the application of the indirect model reference adaptive control(IMRAC) in the Brushless DC motor is studied. This algorithm is applied to the speed control of an inverter driven permanent magnet brushless DC motor. The parameter estimation is based on the Recursive Least Square Estimates. IMRAC is compared to a traditional PI controller. The simulation results show the good adaptive performance and load disturbance. And the results also show that the performance of IMRAC is superior to that of the traditional PI control.
Keywords:brushless DC motor (BLDCM)  indirect model reference adaptive control (IMRAC)  parameter estimation  Matlab
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