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Keywords = single artificial neuron (SAN)

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21 pages, 35721 KB  
Article
A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control
by Qi Wang, Haitao Yu, Min Wang and Xinbo Qi
Energies 2018, 11(9), 2355; https://doi.org/10.3390/en11092355 - 6 Sep 2018
Cited by 22 | Viewed by 6148
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. [...] Read more.
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. Full article
(This article belongs to the Special Issue Control and Nonlinear Dynamics on Energy Conversion Systems)
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