Self-Tuning Fuzzy Controller Design for a Switched Reluctance Motor Drive System

被引：0

作者：

Wang, Shun-Yuan ^{[1
]}

Tseng, Chwan-Lu ^{[1
]}

Lin, Shou-Chuang ^{[1
]}

Chou, Jen-Hsiang ^{[1
]}

Chen, Yu-Wen ^{[1
]}

Sung, Wen-Tsai ^{[2
]}

机构：

[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 106, Taiwan

[2] Natl Chin Yi Univ Technol, Dept Elect Engn, Taichung, Taiwan

来源：

APPLIED MECHATRONICS AND ANDROID ROBOTICS | 2013年 / 418卷

关键词：

fuzzy control theory; direct torque control; switched reluctance motor; TORQUE CONTROL; MINIMIZATION; RIPPLE;

D O I：

10.4028/www.scientific.net/AMM.418.100

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This study adopts the fuzzy control theory to design a self-tuning fuzzy controller (STFC), which allows adjustment to overcome the controller design difficulty caused by switched reluctance motor (SRM) nonlinearity. Based on the torque sharing function (TSF), the proposed STFC was implanted into an SRM direct torque control (DTC) drive system to develop a system with superior speed and electromagnetic torque dynamic responses. In addition, the control strategy possessed excellent electromagnetic torque response, and effectively improved the dynamic response of the system.

引用

页码：100 / +

页数：2

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