Hybrid Gray Wolf Optimization–Proportional Integral Based Speed Controllers for Brush-Less DC Motor

Shukri Mahmood Younus Younus, Uğurhan Kutbay, Javad Rahebi () and Fırat Hardalaç
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Shukri Mahmood Younus Younus: Electrical & Electronics Department, Gazi University, Ankara 06570, Turkey
Uğurhan Kutbay: Electrical & Electronics Department, Gazi University, Ankara 06570, Turkey
Javad Rahebi: Software Engineering Department, Istanbul Topkapi University, Istanbul 34087, Turkey
Fırat Hardalaç: Electrical & Electronics Department, Gazi University, Ankara 06570, Turkey

Energies, 2023, vol. 16, issue 4, 1-18

Abstract: For Brush-less DC motors to function better under various operating settings, such as constant load situations, variable loading situations, and variable set speed situations, speed controller design is essential. Conventional controllers including proportional integral controllers, frequently fall short of efficiency expectations and this is mostly because the characteristics of a Brush-less DC motor drive exhibit non linearity. This work proposes a hybrid gray wolf optimization and proportional integral controller for management of the speed in Brush-less DC motors to address this issue. For constant load conditions, varying load situations and varying set speed situations, the proposed controller’s efficiency is evaluated and contrasted with that of PID controller, PSO-PI controller, and ANFIS. In this study, two PI controller are used to get the more stability of the system based on tuning of their coefficients with meta heuristic method. The simulation findings show that Hybrid GWO-PI-based controllers are in every way superior to other controllers under consideration. In this study, four case studies are presented, and the best-case study was obtained 0.18619, 0.01928, 0.00030, and 0.01233 for RMSE, IAE, ITAE, and ISE respectively.

Keywords: brushless DC motor; PID; GWO-PI; hybrid controller (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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