Cuckoo Optimization Algorithm Based Fuzzy Logic Speed Controller for BLDC Motor

Abstract

Brushless direct current (BLDC) motors are widely used in dynamic applications because of advantages such as high efficiency, wide speed range and low maintenance requirements. The classical Proportional-Integral (PI) control method is generally used for speed control of BLDC motor drivers. Although this method is easy to apply, the determined controller coefficients are generally constant and hence insufficient in dynamic changes. For this reason, methods that respond faster to dynamic changes, such as fuzzy-PI, have been proposed in the literature. Although the rule-based fuzzy controller increases its response ability to dynamic changes, determined rule-based coefficients affects the system performance completely. Therefore, the determination of the rule base values of the fuzzy controller is critical. In this paper, meta-heuristic Cuckoo Optimization Algorithm (COA) is proposed to determine the rule base values of the fuzzy controller for BLDC motor. Additionally, the rule-based table values of the fuzzy controller used for BLDC motor is determined using other meta-heuristic algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Imperialist Competitive Algorithm (ICA), Invasive Weed Optimization (IWO) and the results are compared. Finally, experimental studies for Pittman44 series BLDC motor are also carried out and the results are obtained.

Keywords:

• BLDC
• fuzzy
• cuckoo optimization algorithm
• genetic algorithm
• meta-heuristics optimization algorithms

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Naci Genc

Naci Genc received his B.Sc., M.Sc., and Ph.D. from Gazi University (Ankara), Van Yuzuncu Yil University (Van) and Gazi University, Turkey in 1999, 2002, and 2010, respectively. He is a Professor in the Electrical-Electronics Engineering Department, Yalova University, Yalova, Turkey. His interests include energy conversion systems, power electronics and electrical machines.

Zhansaya Seidakhanovna Kalimbetova

Zhansaya Seidakhanovna Kalimbetova received his B.Sc. and M.Sc. degrees in Electrical Power Engineering from Almaty University of Power Engineering and Telecommunications, Almaty, Kazakhstan, in 2004 and 2008, respectively. She is a Lecturer at the Department of Electrical Engineering, Faculty of Engineering, International Kazakh-Turkish University named after Khoja Ahmed Yasawi (since 2021). Her interests include power transformers, and power systems.