Speed control of brushless de motor using Ant Colony Optimization - Details

Author：

Kouassi, B.A. (Kouassi, B.A..) | Zhang, Yiming (Zhang, Yiming.) | Mbyamm Kiki, M.J. (Mbyamm Kiki, M.J..) | Ouattara, S. (Ouattara, S..)

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EI Scopus

Abstract：

DC　motor　has　as　a　key　aspect　of　industrial　applications.　Thus,　due　to　their　high　performance,　BLDC　motors　are　preferred　as　a　small　horsepower　motor.　However,　it　is　hard　to　acquire　the　good　controlling　performance　with　traditional　tuning　approaches　in　order　to　solve　the　speed　control.　This　paper　provides　an　approach　of　determining　the　optimum　control　parameters　of　PID　for　the　BLDC　speed　control　using　the　Ant　Colony　Optimization　(ACO),　which　is　an　intelligent　algorithm　based　on　feeding　behavior　of　the　swarm.　The　efficiency　and　validity　of　the　design　method　based　on　ACO　are　shown　in　the　Simulation　outcomes.　©　2020　IOP　Publishing　Ltd.　All　rights　reserved.

Keyword：

Ant colony optimization Brushless DC motors Speed regulators Electric machine control Speed control

Author Community：

[ 1 ] [Kouassi, B.A.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Kouassi, B.A.]Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Zhang, Yiming]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Zhang, Yiming]Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Mbyamm Kiki, M.J.]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Mbyamm Kiki, M.J.]Beijing University of Technology, Beijing; 100124, China
[ 7 ] [Ouattara, S.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 8 ] [Ouattara, S.]Beijing University of Technology, Beijing; 100124, China

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Related Keywords：

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Source ：

ISSN： 1755-1307

Year： 2020

Issue： 1

Volume： 431

Language： English

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 6

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 11

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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