Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks
Joint Authors
Nguyen, Tat-Bao-Thien
Liao, Teh-Lu
Yan, Jun-Juh
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, based on fuzzy neural networks, we develop an adaptive sliding mode controller for chaos suppression and tracking control in a chaotic permanent magnet synchronous motor (PMSM) drive system.
The proposed controller consists of two parts.
The first is an adaptive sliding mode controller which employs a fuzzy neural network to estimate the unknown nonlinear models for constructing the sliding mode controller.
The second is a compensational controller which adaptively compensates estimation errors.
For stability analysis, the Lyapunov synthesis approach is used to ensure the stability of controlled systems.
Finally, simulation results are provided to verify the validity and superiority of the proposed method.
American Psychological Association (APA)
Nguyen, Tat-Bao-Thien& Liao, Teh-Lu& Yan, Jun-Juh. 2014. Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-504755
Modern Language Association (MLA)
Nguyen, Tat-Bao-Thien…[et al.]. Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-504755
American Medical Association (AMA)
Nguyen, Tat-Bao-Thien& Liao, Teh-Lu& Yan, Jun-Juh. Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-504755
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504755