Research on Improved Active Disturbance Rejection Control of PMSM Based on a Novel Parameter Tuning Algorithm

In order to improve the performance of the PMSM motor control system against the inward and outward disturbance, this paper proposes an improved control scheme based on the active disturbance rejection control (ADRC) with genetic algorithm (GA) as automatic parameter tuning mechanism. This improved...

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Veröffentlicht in:2018 21st International Conference on Electrical Machines and Systems (ICEMS) S. 2812 - 2816
Hauptverfasser: Liu, Anming, Yang, Kai, Jiang, Feng, Xu, Yunliu, Xu, Changle
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: KIEE EMECS (KIEE Electrical Machinery and Energy Conversion Systems) 01.10.2018
Schlagworte:
ADRC
automatic parameter tuning
Delays
Genetic algorithms
Mathematical model
Optimization
Sociology
Statistics
time delay
Tuning
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Abstract In order to improve the performance of the PMSM motor control system against the inward and outward disturbance, this paper proposes an improved control scheme based on the active disturbance rejection control (ADRC) with genetic algorithm (GA) as automatic parameter tuning mechanism. This improved ADRC controller increases the current response by compensating the time delay of the feedback path. Besides, by taking advantage of the self-learning ability of GA and multiple iterative calculations, a group of optimal parameters can be achieved, thus the difficulty of parameter tuning for ADRC can be reduced. Simulation and experiment are also carried out to verify the improved controller's performance and validity.
AbstractList In order to improve the performance of the PMSM motor control system against the inward and outward disturbance, this paper proposes an improved control scheme based on the active disturbance rejection control (ADRC) with genetic algorithm (GA) as automatic parameter tuning mechanism. This improved ADRC controller increases the current response by compensating the time delay of the feedback path. Besides, by taking advantage of the self-learning ability of GA and multiple iterative calculations, a group of optimal parameters can be achieved, thus the difficulty of parameter tuning for ADRC can be reduced. Simulation and experiment are also carried out to verify the improved controller's performance and validity.
Author Jiang, Feng
Xu, Yunliu
Liu, Anming
Yang, Kai
Xu, Changle
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  organization: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, R.P.China
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  givenname: Kai
  surname: Yang
  fullname: Yang, Kai
  organization: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, R.P.China
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  givenname: Feng
  surname: Jiang
  fullname: Jiang, Feng
  organization: Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, R.P.China
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  givenname: Yunliu
  surname: Xu
  fullname: Xu, Yunliu
  organization: Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, R.P.China
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  givenname: Changle
  surname: Xu
  fullname: Xu, Changle
  organization: Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, R.P.China
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Snippet In order to improve the performance of the PMSM motor control system against the inward and outward disturbance, this paper proposes an improved control scheme...
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SubjectTerms ADRC
automatic parameter tuning
Delays
Genetic algorithms
Mathematical model
Optimization
Sociology
Statistics
time delay
Tuning
Title Research on Improved Active Disturbance Rejection Control of PMSM Based on a Novel Parameter Tuning Algorithm
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