Genetic Tuned PID Controller Based Speed Control of DC Motor Drive

Abstract — Due to its extensive use for motion control systems in industry, tuning of the proportional-integral-derivative (PID) controller parameters has been the focus of intensive research. In this paper, a novel tuning method for the parameters of PID controller based speed control of DC motor using genetic algorithm (GA) is proposed. The main advantage of the proposed method is that the mathematical model of the system under control is not required, so it is useful in many industrial processes that have no obvious or complicated model. In addition, this method allows determining the best values of PID parameters for a specified overshoot, rise time, settling time, and steady-state error. The DC motor with the designed PID controller is modelled and the simulation results are obtained. The obtained results are compared with those of conventional Ziegler Nichols (ZN), GA based integral absolute of the error (IAE) index, and GA based mean of the squared error (MSE) index methods. The comparison indicates effectiveness of the proposed tuning method as it gives a better performance and satisfies the specified control characteristics