A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control

Qi Wang, Haitao Yu, Min Wang and Xinbo Qi
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Qi Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Haitao Yu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Min Wang: School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
Xinbo Qi: Department of Automatic Control, Henan Institute of Technology, Xinxiang 453003, China

Energies, 2018, vol. 11, issue 9, 1-21

Abstract: A speed controller for permanent magnet synchronous motors (PMSMs) under the field oriented control (FOC) method is discussed in this paper. First, a novel adaptive neuro-control approach, single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) for speed regulation of PMSMs, is presented. For both current loops, PI controllers are adopted, respectively. Compared with the conventional single artificial neuron (SAN) control strategy, the proposed approach assumes an unknown mathematic model of the PMSM and guides the selection value of parameter K online. Besides, the proposed design can develop an internal reinforcement learning signal to guide the dynamic optimal control of the PMSM in the process. Finally, nonlinear optimal control simulations and experiments on the speed regulation of a PMSM are implemented in Matlab2016a and TMS320F28335, a 32-bit floating-point digital signal processor (DSP), respectively. To achieve a comparative study, the conventional SAN and SAN-GrHDP approaches are set up under identical conditions and parameters. Simulation and experiment results verify that the proposed controller can improve the speed control performance of PMSMs.

Keywords: permanent magnet synchronous motor (PMSM); single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP); single artificial neuron (SAN); reinforcement learning (RL); goal representation heuristic dynamic programming (GrHDP); adaptive dynamic programming (ADP) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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