A Genetic Algorithm-Based Novel Speed Controllere for Induction Motor Drives

Document Type : Original Article

Authors

Electrical Engineering Department, Faculty of Engineering Menoufiya University, Shebin El-Kom, Egypt

Abstract

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 (DSP-TMS320C31). Simulation and experimental results
show a good performance of the system under study with the proposed speed controller over a
range of operating conditions.