PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights

The brushless director current (DC) motor is a new type of mechatronic motor that has been developed rapidly with the development of power electronics technology and the emergence of new permanent magnet materials. Based on the speed regulation characteristics, speed regulation strategy, and mathema...

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Main Authors:	Wei Xie, Jie-Sheng Wang, Hai-Bo Wang
Format:	Article
Language:	English
Published:	Hindawi Limited 2019-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2019/2671792

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spelling	doaj-a20a4a93bb5d41e1aa5659ce184994652020-11-24T22:29:48ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/26717922671792PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia WeightsWei Xie0Jie-Sheng Wang1Hai-Bo Wang2School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan 114044, ChinaSchool of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan 114044, ChinaHBIS Laoting Steel Co., Ltd., Tangshan 063600, ChinaThe brushless director current (DC) motor is a new type of mechatronic motor that has been developed rapidly with the development of power electronics technology and the emergence of new permanent magnet materials. Based on the speed regulation characteristics, speed regulation strategy, and mathematical model of brushless DC motor, a parameter optimization method of proportional-integral (PI) controller on speed regulation for the brushless DC motor based on particle swarm optimization (PSO) algorithm with variable inertia weights is proposed. The parameters of PI controller are optimized by PSO algorithm with five inertia weight adjustment strategies (linear descending inertia weight, linear differential descending inertia weight, incremental-decremented inertia weight, nonlinear descending inertia weight with threshold, and nonlinear descending inertia weight with control factor). The effectiveness of the proposed method is verified by the simulation experiments and the related simulation results.http://dx.doi.org/10.1155/2019/2671792
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wei Xie Jie-Sheng Wang Hai-Bo Wang
spellingShingle	Wei Xie Jie-Sheng Wang Hai-Bo Wang PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights Mathematical Problems in Engineering
author_facet	Wei Xie Jie-Sheng Wang Hai-Bo Wang
author_sort	Wei Xie
title	PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights
title_short	PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights
title_full	PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights
title_fullStr	PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights
title_full_unstemmed	PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights
title_sort	pi controller of speed regulation of brushless dc motor based on particle swarm optimization algorithm with improved inertia weights
publisher	Hindawi Limited
series	Mathematical Problems in Engineering
issn	1024-123X 1563-5147
publishDate	2019-01-01
description	The brushless director current (DC) motor is a new type of mechatronic motor that has been developed rapidly with the development of power electronics technology and the emergence of new permanent magnet materials. Based on the speed regulation characteristics, speed regulation strategy, and mathematical model of brushless DC motor, a parameter optimization method of proportional-integral (PI) controller on speed regulation for the brushless DC motor based on particle swarm optimization (PSO) algorithm with variable inertia weights is proposed. The parameters of PI controller are optimized by PSO algorithm with five inertia weight adjustment strategies (linear descending inertia weight, linear differential descending inertia weight, incremental-decremented inertia weight, nonlinear descending inertia weight with threshold, and nonlinear descending inertia weight with control factor). The effectiveness of the proposed method is verified by the simulation experiments and the related simulation results.
url	http://dx.doi.org/10.1155/2019/2671792
work_keys_str_mv	AT weixie picontrollerofspeedregulationofbrushlessdcmotorbasedonparticleswarmoptimizationalgorithmwithimprovedinertiaweights AT jieshengwang picontrollerofspeedregulationofbrushlessdcmotorbasedonparticleswarmoptimizationalgorithmwithimprovedinertiaweights AT haibowang picontrollerofspeedregulationofbrushlessdcmotorbasedonparticleswarmoptimizationalgorithmwithimprovedinertiaweights
_version_	1725743167905464320

PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights

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