Research on Self-adaptive Fuzzy Speed Control Strategy of Brushless DC Motor for Stronger Robustness

被引：0
|
作者：
Zhao, Hong [1 ]
Wang, Yiting [1 ]
Guo, Chen [1 ]
Luo, Peng [1 ]
Zhao, Derun [1 ]
机构：
[1] Dalian Maritime Univ, Sch Marine Elect Engn, Dalian 116026, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
Brushless DC Motor (BLDCM); Speed Control; Self-adaptive; Fuzzy PI Control; Robustness;
D O I：
10.1109/ccdc.2019.8832713
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Brushless DC Motor (BLDCM) control system is non-linear, multivariable, tightly coupled. Via analyzing the operational principle and mathematical model of the BLDCM, a double closed-loop servo control system is established in Matlab/Simul ink environment. However. the traditional PI controller is usually adopted in current and speed loop, thus resulting in shortcomings of setting parameter difficultly, large overshoots, etc. Therefore, a self-adaptive fuzzy PI control scheme is proposed in speed loop to overcome these shortcomings. Then, several simulation experiments are conducted to verify validity, feasibility and effectiveness of the proposed strategy. Finally, the simulation experiment results show that the improved scheme had faster dynamic response and anti-interference ability.
引用
收藏
页码：2483 / 2488
页数：6
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