Intelligent Control Strategies for Tuning PID of Speed Control of DC Motor - A Review

DC motor are commonly used in industrial application, because of that advantages over other types of motors. Some applications of DC motor require more advanced control strategies of speed and position. The classic PID controller has been taking the majority of the control system worldwide. Due to its inefficiency in non linerity handling, some of the soft computing and artificial intelligent (AI) techniques were adopted to solve the uncertainties/nonlinearities existing in the system. In this paper, the several AI techniques were compared based on their performance for tuning PID of DC motor speed control. The parameters of PID controller to be tuned in terms of rise time, settling time, steady-state error and maximum overshoot. In addition, the theoretical complexity of the strategies is also compared. In general, this paper presents a brief review and comparison of intelligent control strategies for tuning PID parameters of DC motor speed control based on early research.