Current controller design of permanent magnet synchronous motor based on indirect adaptive robust control

被引：0
|
作者：
Tao R.-C. [1 ]
Ma J. [1 ]
Zhao H. [1 ]
机构：
[1] School of Astronautics, Harbin Institute of Technology, Harbin, 150080, Heilongjiang
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2017年 / 34卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Current control; Parameter estimation; Permanent magnet synchronous motor; Robust control;
D O I：
10.7641/CTA.2017.60558
中图分类号：
学科分类号：
摘要：
This paper addresses the problem of non-ideal back emf minimization in permanent magnet synchronous motor (PMSM) and proposes an indirect adaptive robust control (IARC) with the robust recursive least square (RRLS) adaptation law. Based on the adaptive robust control (ARC), the least square adaptive law is synthesized in accordance with the motor model and then a correction factor is added to enhance the robustness of the adaptation law. Therefore, a better estimation of non-ideal back emf can be obtained with IARC. The stability of the system with the proposed controller is proved. Based on the PMSM model with non-ideal back emf, the current controller designed by IARC holds the better performance of tracking error and disturbance suppression than that by direct ARC. Finally, the effectiveness of the proposed method is demonstrated by the simulation and experiment. © 2017, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
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页码：296 / 302
页数：6
相关论文
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