Widi Aribowo, Reza Rahmadian, Mahendra Widyartono, Ayusta Lukita Wardani, Aditya Prapanca, Laith Abualigah
In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of a proportional integral derivative (PID) controller in DC motor control. The GBO algorithm which mathematically models and mimics is inspired by the gradient-based Newton method. It was developed to address various optimization issues. To determine the performance of the proposed method, a comparison method with the ant colony optimization (ACO) method. It was compared using the integral of time multiplied absolute error (ITAE). They are most popularly used in the literature. From the test results, the proposed method is promising and has better effectiveness. The proposed method, namely GBO-PID, shows the best performance. © 2024, Institute of Advanced Engineering and Science. All rights reserved.
Department of Electrical Engineering, Faculty of Vocational, Universitas Negeri Surabaya, Surabaya, Indonesia; Department of Computer Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Surabaya, Indonesia; Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, Saudi Arabia; Hourani Center for Applied Scientifc Research, Al-Ahliyya Amman University, Amman, Jordan; MEU Research Unit, Middle East University, Amman, Jordan; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon; Applied Science Research Center, Applied Science Private University, Amman, Jordan
