Optimal Comparison Using MOWOA and MOGWO for PID Tuning of DC Servo Motor
Kittisak Sanprasit and Pramin Artrit
Deptartment of Electrical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand
Abstract— The purpose of the study is to investigate the tuning of parameter gain PID controller for a DC servo motor. In this research, comparison between the meta-heuristic algorithm of Multi-objective Whale Optimization Algorithm (MOWOA) and Multi-objective Grey Wolf Optimizer (MOGWO) for PID tuning are made. Three objective functions are employed i.e. minimal settling time (ts), minimal overshoot (MP), and minimal steady state error (ess). The MOWOA gives a better result based on the hypervolume indicator.
Index Terms—PID controller, MOWOA, MOGWO, hypervolume, optimization algorithm, feedback control
Cite: Kittisak Sanprasit and Pramin Artrit, "Optimal Comparison Using MOWOA and MOGWO for PID Tuning of DC Servo Motor," Journal of Automation and Control Engineering, Vol. 7, No. 1, pp. 45-49, June, 2019. doi: 10.18178/joace.7.1.45-49
Cite: Kittisak Sanprasit and Pramin Artrit, "Optimal Comparison Using MOWOA and MOGWO for PID Tuning of DC Servo Motor," Journal of Automation and Control Engineering, Vol. 7, No. 1, pp. 45-49, June, 2019. doi: 10.18178/joace.7.1.45-49