Optimal FOC-PID Parameters of BLDC Motor System Control Using Parallel PM-PSO Optimization Technique

Authors

Nguyen Tien Dat^{1, 2}, Cao Van Kien^{1, 2}, Ho Pham Huy Anh^{1, 2, *,}

¹Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Viet Nam

²Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Viet Nam

^*Corresponding author. Email: hphanh@hcmut.edu.vn

DOI

10.2991/ijcis.d.210319.001How to use a DOI?

Keywords

Particle swarm optimization (PSO); Parallel PSO technique; Parallel multi-population technique; Brushless DC electric motor; BLDC motor system; Field-oriented control (FOC-PID); Nonlinear Benchmark tests; Parallel multi-population particle swarm optimization (PM-PSO)

Abstract

This paper proposes a parallelization method for meta-heuristic particle swarm optimization algorithm to obtain a convincingly fast execution and stable global solution result. Applied the proposed method, the searching region is efficiently separated into sub-regions which are simultaneously searched using optimization algorithm. The structure of meta-heuristic algorithm is rebuilt as to execute in parallel multi-population mode. The closed loop system of brushless DC electric motor position control is used to verify the proposed method. The simulation and experiment results show that the proposed parallel multi-population technique obtains a competitive performance compared to the standard ones in both of precision and stability criteria. Especially, meta-heuristic algorithms running in parallel multi-population mode execute quite faster than standard ones. In particular, it shows an efficient improvement of the proposed method applied to identify of nonlinear Benchmark tests and to optimize proportional integral derivative parameters for field-oriented control scheme of the brushless DC electric motor system.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Nguyen Tien Dat
AU  - Cao Van Kien
AU  - Ho Pham Huy Anh
PY  - 2021
DA  - 2021/03/25
TI  - Optimal FOC-PID Parameters of BLDC Motor System Control Using Parallel PM-PSO Optimization Technique
JO  - International Journal of Computational Intelligence Systems
SP  - 1142
EP  - 1154
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210319.001
DO  - 10.2991/ijcis.d.210319.001
ID  - Dat2021
ER  -