PERFORMANCE ANALYSIS OF MEMBERSHIP FUNCTIONS IN FUZZY LOGIC CONTROL OF DC SERVO MOTORS

Abstract

Most of the industrial applications use the traditional PID controllers because they are simple, easy to use, have robust modeling, lower in cost and quite effective for resolving the issues in linear systems but the PID controller is observed not to be suitable for solving the high order issues. Therefore, Fuzzy controllers come to the existence in order to resolve the high order issues in linear systems. This study provides a FLC to control the angular position of the servo motor. The implacability of FLC’s to the servo motors produces the quality results. PID controllers are not capable of generating reliable output if the input parameters get changed, but fuzzy logic controller has this ability as it works upon the basis of the set of rules which are defined as per the input membership functions. The objective of this study is to design and analyze the performance of the difference type of membership functions to control the angular position of the servo motors. Error and velocity is considered as the input membership function and control as an output membership functions in proposed work. The results have been driven by implementing the proposed FLC in MATLAB and depicts that the various types of membership functions have various effects on control of the servo meter. It is also observed that the range of the membership functions also leads to the variations in control output.