Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization
This article presents an adaptive integral backstepping controller (AIBC) for permanent magnet synchronous motors (PMSMs) with adaptive weight particle swarm optimization (AWPSO) parameters optimization. The integral terms of dq axis current following errors are introduced into the control law, and...
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doaj-d588354b7ecb46618f1c314e9b1791382020-11-25T01:33:26ZengMDPI AGEnergies1996-10732019-07-011213259610.3390/en12132596en12132596Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters OptimizationWeiran Wang0Fei Tan1Jiaxin Wu2Huilin Ge3Haifeng Wei4Yi Zhang5School of Electricity and Information, Jiangsu University of Science and Technology, Zhenjiang 212000, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212000, ChinaSchool of Electricity and Information, Jiangsu University of Science and Technology, Zhenjiang 212000, ChinaSchool of Electricity and Information, Jiangsu University of Science and Technology, Zhenjiang 212000, ChinaSchool of Electricity and Information, Jiangsu University of Science and Technology, Zhenjiang 212000, ChinaSchool of Electricity and Information, Jiangsu University of Science and Technology, Zhenjiang 212000, ChinaThis article presents an adaptive integral backstepping controller (AIBC) for permanent magnet synchronous motors (PMSMs) with adaptive weight particle swarm optimization (AWPSO) parameters optimization. The integral terms of dq axis current following errors are introduced into the control law, and by constructing an appropriate Lyapunov function, the adaptive law with the differential term and the control law with the integral terms of the current error are derived to weaken the influence of internal parameters perturbation on current control. The AWPSO algorithm is used to optimize the parameters of the AIBC. Based on the analysis of single-objective optimization and multi-objective realization process, a method for transforming multi-objective optimization with convex Prato frontier into single-objective optimization is presented. By this method, a form of fitness function suitable for parameters optimization of backstepping controller is determined, and according to the theoretical derivation and large number of simulation results, the corresponding parameters of the optimization algorithm are set. By randomly adjusting the inertia weight and changing the acceleration factor, the algorithm can accelerate the convergence speed and solve the problem of parameters optimization of the AIBC. The feasibility and effectiveness of the proposed controller for PMSM are verified by simulation and experimental studies.https://www.mdpi.com/1996-1073/12/13/2596permanent magnet synchronous motor (PMSM)adaptive integral backstepping controller (AIBC)adaptive weight particle swarm optimization (AWPSO)parameters optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weiran Wang Fei Tan Jiaxin Wu Huilin Ge Haifeng Wei Yi Zhang |
spellingShingle |
Weiran Wang Fei Tan Jiaxin Wu Huilin Ge Haifeng Wei Yi Zhang Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization Energies permanent magnet synchronous motor (PMSM) adaptive integral backstepping controller (AIBC) adaptive weight particle swarm optimization (AWPSO) parameters optimization |
author_facet |
Weiran Wang Fei Tan Jiaxin Wu Huilin Ge Haifeng Wei Yi Zhang |
author_sort |
Weiran Wang |
title |
Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization |
title_short |
Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization |
title_full |
Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization |
title_fullStr |
Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization |
title_full_unstemmed |
Adaptive Integral Backstepping Controller for PMSM with AWPSO Parameters Optimization |
title_sort |
adaptive integral backstepping controller for pmsm with awpso parameters optimization |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-07-01 |
description |
This article presents an adaptive integral backstepping controller (AIBC) for permanent magnet synchronous motors (PMSMs) with adaptive weight particle swarm optimization (AWPSO) parameters optimization. The integral terms of dq axis current following errors are introduced into the control law, and by constructing an appropriate Lyapunov function, the adaptive law with the differential term and the control law with the integral terms of the current error are derived to weaken the influence of internal parameters perturbation on current control. The AWPSO algorithm is used to optimize the parameters of the AIBC. Based on the analysis of single-objective optimization and multi-objective realization process, a method for transforming multi-objective optimization with convex Prato frontier into single-objective optimization is presented. By this method, a form of fitness function suitable for parameters optimization of backstepping controller is determined, and according to the theoretical derivation and large number of simulation results, the corresponding parameters of the optimization algorithm are set. By randomly adjusting the inertia weight and changing the acceleration factor, the algorithm can accelerate the convergence speed and solve the problem of parameters optimization of the AIBC. The feasibility and effectiveness of the proposed controller for PMSM are verified by simulation and experimental studies. |
topic |
permanent magnet synchronous motor (PMSM) adaptive integral backstepping controller (AIBC) adaptive weight particle swarm optimization (AWPSO) parameters optimization |
url |
https://www.mdpi.com/1996-1073/12/13/2596 |
work_keys_str_mv |
AT weiranwang adaptiveintegralbacksteppingcontrollerforpmsmwithawpsoparametersoptimization AT feitan adaptiveintegralbacksteppingcontrollerforpmsmwithawpsoparametersoptimization AT jiaxinwu adaptiveintegralbacksteppingcontrollerforpmsmwithawpsoparametersoptimization AT huilinge adaptiveintegralbacksteppingcontrollerforpmsmwithawpsoparametersoptimization AT haifengwei adaptiveintegralbacksteppingcontrollerforpmsmwithawpsoparametersoptimization AT yizhang adaptiveintegralbacksteppingcontrollerforpmsmwithawpsoparametersoptimization |
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