Optimum Performance Achieving of BLDC Motor Based on Optimized SMC Strategy

Ahmed Maher Kheel; Nabil Kadhim  Al-Shamaa; Majli Nema Hawas

doi:10.37934/araset.64.2.149164

Authors

Ahmed Maher Kheel Department of Electrical Power Engineering Techniques, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq
Nabil Kadhim Al-Shamaa Department of Electrical Power Engineering Techniques, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq
Majli Nema Hawas Institute of Technology Baghdad, Middle Technical University, Al-Za'franiya, 10074 Baghdad, Iraq

DOI:

https://doi.org/10.37934/araset.64.2.149164

Keywords:

Particle swarm optimization (PSO), proportional-integral (PI), sliding mode controller (SMC), speed control of BLDC motor

Abstract

Electric vehicles, healthcare devices, and manufacturing machinery all use brushless DC motors (BLDCM) because of the need for precise speed regulation to accommodate load and reference variation. In this research, the Particle Swarm Optimization (PSO) method is used to find the best values for the Proportional-Integral (PI) and Sliding Mode Controller (SMC) parameters used to regulate the speed of BLDC motors. The Integral Time Absolute Error (ITAE) is employed as the fitness function when utilizing the PSO technique for fine-tuning the PI and SMC parameters. Statistical and visual representations of the optimization techniques' effectiveness are provided. The simulation results demonstrate the PSO-based SMC's superiority over the optimization PI controller and the SMC without optimization regarding fast-tracking to the intended value and reduced torque ripple under non-uniform situations.