A genetic algorithm-based novel speed controller for induction motor drives

被引：0
|
作者：
Saleh, RAF [1 ]
El-Kholy, EE [1 ]
机构：
[1] Menoufyia Univ, Dept Elect Engn, Fac Engn, Shibin Al Kawm, Egypt
来源：
PEDS 2003 : FIFTH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS, VOLS 1 AND 2, PROCEEDINGS | 2003年
关键词：
induction motors; fuzzy logic control; genetic algorithm;
D O I：
10.1109/PEDS.2003.1282883
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes a new method for the design of a speed controller using a genetic algorithm to improve the dynamic performance of induction motor drives. The control signal is based on the instantaneous speed deviation and acceleration of the motor and on a set of simple fuzzy control rules. A novel approach is proposed to generate the control rules, and thus increase the effectiveness of the controller. A genetic algorithm is used to search for optimal setting of the controller parameters. The proposed control algorithm was successfully implemented using a 1.5 hp three-phase induction motor fed from a pulse width modulation inverter and a digital signal processor (DSPTMS320C31). Simulation and experimental results for the prototype are presented to verify the good performance of the proposed speed controller over a range of operating conditions.
引用
收藏
页码：462 / 467
页数：6
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