Comparative Analysis for Optimal Tuning of DC Motor Position Control System

Abstract

DC motors are an important component and are used in industrial machines and engineering applications. The position control of DC motor is useful in precision control systems. This study aims to present a comparative analysis of different controllers and to tune these controllers using metaheuristic algorithms for DC motor position control. The position control is modeled using its transfer function. In this study, the performance of PID, fractional-PID (F-PID) and PID with filter coefficient Ni (PID-N) has been compared. The controller’s parameters, i.e., Kp, Ki, Kd, Ni, μ, λ have been tuned by using global neighborhood algorithm (GNA) and bat algorithm (BA). The optimization performance of the chosen algorithms is compared using transient response analysis. The results obtained after performing the simulation show that the overall performance of PID-N controller is better compared to the other controllers, and GNA does better overall tuning of controller parameters compared to BA. All simulations were done using MATLAB/Simulink.