ELECTRICA
Original Article

Optimization of Proportional-Integral-Derivative Parameters for Speed Control of Squirrel-Cage Motors with Seahorse Optimization

1.

Department of Electric Vehicle Technologies, İnönü University, OSB Vocational School, Malatya, Turkey

2.

Department of Computer Engineering, Turgut Özal University, Faculty of Engineering and Natural Sciences, Malatya, Turkey

3.

Department of Computer Engineering, İnönü University, Faculty of Engineering, Malatya, Turkey

4.

Department of Electric Electronic Engineering, İnönü University, Faculty of Engineering, Malatya, Turkey

ELECTRICA 2024; 24: 318-326
DOI: 10.5152/electrica.2024.23141
Read: 434 Downloads: 287 Published: 18 March 2024

Abstract: The two different motion behaviors of seahorses in nature served as inspiration for the seahorse optimization (SHO) method, which is a new metaheuristic swarm intelligence-based approach to solving fundamental engineering problems. In this study, the proportional-integral-derivative (PID) parameters for the simplified speed control of the manipulator joint using squirrel-cage induction motors were calculated with the SHO algorithm. As a result of these calculations, Kp, Ki, and Kd values were obtained as 0.0430, 0.00474, and 0.03254, respectively. Then, the time for the squirrel-cage motor to reach 50 rpm (revolutions per minute) and 90 rpm was calculated with the help of SHO. In PID+SHO operation, the squirrel-cage electric motor reached 50 rpm in 3 seconds and 90 rpm in 8 seconds. In this study, in which the SHO optimization method was used, it was calculated that the acceleration of the squirrel-cage motor and reaching the desired value gave 50% better results compared to the particle swarm optimization algorithm.

Cite this article as: Y. Emre Ekici, O. Akdağ, A. Arif Aydın and T. Karadağ, “Optimization of PID parameters for speed control of squirrel-cage motors with seahorse optimization,” Electrica, 24(2), 318-326, 2024.

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EISSN 2619-9831