An improved adaptive tracking controller of permanent magnet synchronous motor
type: Item
instance of: scholarly article
title: An improved adaptive tracking controller of permanent magnet synchronous motor
zbMATH Open document ID: 1406.93171
DOI: 10.1155/2014/987308
author: Tat-Bao-Thien Nguyen
author: Teh-Lu Liao
author: Hang-Hong Kuo
author: Jun-Juh Yan
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: This paper proposes a new adaptive fuzzy neural control to suppress chaos and also to achieve the speed tracking control in a permanent magnet synchronous motor (PMSM) drive system with unknown parameters and uncertainties. The control scheme consists of fuzzy neural and compensatory controllers. The fuzzy neural controller with online parameter tuning is used to estimate the unknown nonlinear models and construct linearization feedback control law, while the compensatory controller is employed to attenuate the estimation error effects of the fuzzy neural network and ensure the robustness of the controlled system. Moreover, due to improvement in controller design, the singularity problem is surely avoided. Finally, numerical simulations are carried out to demonstrate that the proposed control scheme can successfully remove chaotic oscillations and allow the speed to follow the desired trajectory in a chaotic PMSM despite the existence of unknown models and uncertainties.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93B52
zbMATH DE Number: 7023462
zbMATH Keywords: adaptive tracking controller
zbMATH Keywords: synchronous motor
zbMATH Keywords: fuzzy neural control
zbMATH Keywords: linearization feedback control
Wikidata QID: Q59043332
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/987308
OpenAlex ID: W2011181669
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description: scientific article; zbMATH DE number 7023462