Application of Adaptive Tabu Search to PIDA Controller Design

This paper presents an intelligent method for designing PIDA controller using an adaptive tabu search (ATS) algorithm, one of the most efficient artificial intelligent techniques. The target is considered as a metaheuristic approach with flexible, optimum, and robustness effectiveness for engineering problem applications. The ATS can be used to find the design of optimum PIDA controller's parameters search for AC motor position control system. As results, the optimum PIDA controller is successfully obtained by the ATS at rise time = 0.118 sec, settling time = 1.53 sec, overshoot = 3.47%, peak amplitude = 1.03, peak time = 0.72 sec and the responses of controlled systems are very satisfactory as compared to ZieglerNichols method, Jung-Dorf approach and Kitti's method.