Performance and Comparative Analysis of Speed Control of IM using Improved Hybrid Fuzzy Gain Scheduling of Proportional Integral Derivative Controller

Abstract

In this paper, an improved Hybrid FGS-PID (Fuzzy Gain Scheduling of Proportional Integral Derivative) controller is presented for governing the speed of IM (Induction Motor). It is compared with the existing conventional controller (PD&PID) which are extensively used in the industries, an indirect vector control technique using “Synchronously Rotating Reference” as an IM’s frame model. This model has been used to governor the speed of three phase squirrel cage IM by using various controller techniques. The proposed Hybrid FGS-PID controller method has been designed, which further selects the three different gains of the PID controller by using a fuzzy inference engine while considering the inputs and outputs Fuzzy rules have been designed to calculate the optimum range of gain values. The designed controller has the flexibility of suitably fine-tuning of conventional PID controller’s gains to get the desired results under various operating conditions and to fuzzify the gain parameters Gaussian membership functions were used, rules are mapped in Mamdani inference engine corresponding to their inputs and their output. The comparative results show that fresh gain parameters of designed FGS-PID controller have resolved that the limitations regarding parameters changed and load variations quite satisfactorily.