Speed Control of Induction Motor using Fuzzy PI and Optimized using GA

Abstract

Abstract—In recent years, the field oriented control of induction motor drive is widely used in high performance drive system. Induction motor has many advantages like it is very simple. It has sufficiently high efficiency.. Linear Proportional –Integral (PI) control is not a well established control method in motor drive because of the nonlinearity of induction motor. Whereas fuzzy logic control has the capability to control nonlinear, uncertain systems even in the case where no mathematical model is available for the control system. Fuzzy Logic Control(FLC) is introduced in the system for keeping the motor speed to be constant when the load varies. GA is a stochastic global adaptive search optimization technique based on the mechanisms of natural selection. Recently, GA has been recognized as an effective and efficient technique to solve optimization problems. Finally this controller can be optimized using a Genetic Algorithm Technique. When compared to Fuzzy PI controller Genetic Algorithm produces better performance.