Modeling and Designing a Genetically Optimized PID Controller for Separately Excited DC Motor

Abstract

This paper presents an intelligent method todesign a proportional-integral-derivative (PID) controller tocontrol the speed of a separately excited DC motor (SEDCM).There are various artificial intelligent (AI) based proposedmethods for tuning the parameters of a PID controller. GeneticAlgorithm is a powerful optimization tool used to optimizeseveral parameters from the given population based on naturalevolution. The purpose of this paper is to obtain the suitablespeed characteristics of a SEDCM by optimizing the transientresponse i.e. by minimizing the settling time, overshoot and therise time using genetic algorithm (GA). In this method, integralof absolute error (IAE) is taken as the cost function. The GAoptimized PID controller shows better performance withrespect to settling time, rise time and percentage of overshootthan other conventional methods and adaptive fuzzy PIDcontroller.