Position control of SRM based on sliding-mode-learning neural networks

被引：0
|
作者：
Wang J.-J. [1 ]
Sun J.-H. [1 ]
Zheng Z.-Y. [1 ]
机构：
[1] School of Automation, Hangzhou Dianzi University, Hangzhou
来源：
Sun, Jia-Hao (152060125@hdu.edu.cn) | 1600年 / Northeast University卷 / 32期
关键词：
Adaline; Flux-linkage-sharing method; Sliding-mode-learning algorithm; Switched reluctance motor;
D O I：
10.13195/j.kzyjc.2016.0657
中图分类号：
学科分类号：
摘要：
A sliding-mode-learning neural networks control method is proposed to solve the position control problem of the switched reluctance motor. The training speed for the weights of the Adaline can be enhanced with sliding-mode- learning algorithm. The flux-linkage-sharing method is used to realize the sharing of the virtual reference flux-linkage between different phases of the SRM. The proposed control method is compared with the PD controller, gradient-descent method and torque-sharing method through simulation. The comparisons prove that the proposed control method can make the position control of the SRM has higher responding speed and higher control accuracy. © 2017, Editorial Office of Control and Decision. All right reserved.
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页码：1133 / 1136
页数：3
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