Hybrid Intelligent Speed Control of Induction Machines Using Direct Torque Control

被引：0
|
作者：
Ramirez Figueroa, Fernando David [1 ]
Mantilla Caeiros, Alfredo Victor [1 ]
机构：
[1] Tecnol Monterrey, Tlalpan 14380, DF, Mexico
来源：
ADVANCES IN SOFT COMPUTING, PT II | 2011年 / 7095卷
关键词：
Genetic Algorithms; Genetic Programing; Intelligent Control; Fuzzy Logic; Fuzzy C-means; FCM; Hybrid Intelligent Systems; DTC; Induction Machine;
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：
This paper presents a novel hybrid adaptive fuzzy controller for the regulation of speed on induction machines with direct torque control. The controller is based on a fuzzy system and PID control with decoupled gains. Genetic programming techniques are used for offline optimizations of the normalization constants of fuzzy membership function ranges. Fuzzy cluster means is introduced for online optimization on the limits of triangular fuzzy membership functions. Finally simulations in LabVIEW are presented validating the response of the controller with and without load on the machine; results and conclusions are discussed.
引用
收藏
页码：319 / 330
页数：12
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