Social Spider Optimization (SSO) for Tuning PID Controller on DC Motors

Abstract

This paper presents an optimization algorithm for tuning proportional-integral-derivative (PID) controller parameters in order to achieve a desired transient response. In order to find optimal PID controller parameters, it is rather a complicated task such that the best proposed methods or techniques may lead to a better performance. Artificial intelligence optimization approach is observed as a complement solution to improve the performance of the PID controller designed by conventional method. Hence, an offline tuning PID controller design scheme is proposed, which is able to deal with engineering problems, such that Social Spider Optimization (SSO) is chosen for this work. The step response of the controller were analyzed and described in terms of minimization of the system peak overshoot, M_p, steady-state error, e_ss, rise time, T_r and settling time, T_s. This algorithm able to obtain accurate solution and efficiency to solve such complex computational calculations especially for optimization problems as it have a fast convergence speed, results are very promising as optimal solutions to real-world problems are obtained.