Torque-ripple minimization in switched reluctance motors using adaptive fuzzy control

被引：107

作者：

Mir, S ^{[1
]}

Elbuluk, ME ^{[1
]}

Husain, I ^{[1
]}

机构：

[1] Univ Akron, Dept Elect Engn, Akron, OH 44325 USA

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 1999年 / 35卷 / 02期

关键词：

adaptive fuzzy logic control; high-performance drive; real-time digital signal processor implementation; switched reluctance machine;

D O I：

10.1109/28.753642

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An adaptive fuzzy control scheme for torque-ripple minimization of switched reluctance machines is presented. The fuzzy parameters are initially chosen randomly and then adjusted to optimize the control, The controller produces smooth torque up to the motor base speed. The torque is generated over the maximum positive torque-producing region of a phase. This increases the torque density and avoids high current peaks. The controller is robust toward errors in the rotor position information, which means inexpensive crude position sensors can be used. Detailed simulation and experimental results are presented. The controller shows good response in both cases.

引用

页码：461 / 468

页数：8

共 9 条

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[9] [No title captured]

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