Brushless DC motor control based on fuzzy self-tuning of active-disturbance rejection parameters

被引：0

作者：

Li, Meng-Qiu ^{[1
]}

Wang, Liang ^{[1
]}

Huang, Qing ^{[1
]}

Tang, Lei ^{[1
]}

Zhao, Ying-Ying ^{[1
]}

机构：

[1] College of Electrical and Information Engineering, Hunan Univ, Changsha, Hunan 410082, China

来源：

Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2014年 / 41卷 / 05期

关键词：

In the permanent magnet brushless DC motor (BLDCM) control system; a new ADRC brushless DC motor control system was propsed in order to enhance the robustness and adaptability of the control system and to simplify the controller structure and the debugging process. In motor control; auto disturbance rejection controller (ADRC) is the effective means to improve the robustness of a system; but it has a lot of parameters to be adjusted; which is not good for practical application. This paper used fuzzy control technology to facilitate ADRC parameter self-tuning. This method not only maintains the original excellent performance of ADRC; but also improves the adaptive capacity. Combined with the characteristics of brushless DC motor itself; this paper deduced the second-order equation of BLDCM by using only one parameter fuzzy self-tuning ADRC to achieve a brushless DC motor operation control system. Simulation results have shown that this control system has strong adaptability and robustness in the condition of BLDCM internal parameter perturbation and external disturbances. Experiment results have also shown the feasibility and effectiveness of this system;

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页码：71 / 78