Optimal Position Control of Permanent Magnet DC Motor (PMDC)

This paper presents a comparative study of position control for Permanent Magnet DC motor (PMDC). A comparison between the Proportional-IntegralDerivative (PID) controller tuned using Particle Swarm Optimization technique (PIDPSO), and using Genetic Algorithm technique (PID-GA) has been introduced. The proposed strategy is intended to improve the performance of conventional PID controller by using different optimization techniques and selecting the best one. The MATLAB/SIMULINK toolbox is used to model and simulate the PMDC Motor accurately, since the model of modest accuracy cannot be expected to give fair comparison of different controllers. The performance of both controllers is evaluated to explain the main characteristics of each one.