Torque-ripple mjnimisation in switched reluctance motors using a neuro-fuzzy control strategy

被引：0
|
作者：
Kennedy, EP [1 ]
Condon, M [1 ]
Dowling, J [1 ]
机构：
[1] Dublin City Univ, Sch Elect Engn, Dublin 9, Ireland
来源：
IASTED: PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION | 2003年
关键词：
switched reluctance motors; torque-ripple minimisation; neuro-ftizzy control; simulation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel neuro-fuzzy control strategy for torque-ripple minimisation in switched reluctance motors is presented. A compensating signal is added to the output of a PI controller in a current-regulated speed control loop. The neuro-fuzzy compensator is trained offline. Simulation results confirm a very significant reduction in the torque ripple.
引用
收藏
页码：106 / 109
页数：4
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