Nonlinear Dynamic Surface Control of Chaos in Permanent Magnet Synchronous Motor Based on the Minimum Weights of RBF Neural Network

Author

Luo, Shaohua

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-22

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

This paper is concerned with the problem of the nonlinear dynamic surface control (DSC) of chaos based on the minimum weights of RBF neural network for the permanent magnet synchronous motor system (PMSM) wherein the unknown parameters, disturbances, and chaos are presented.

RBF neural network is used to approximate the nonlinearities and an adaptive law is employed to estimate unknown parameters.

Then, a simple and effective controller is designed by introducing dynamic surface control technique on the basis of first-order filters.

Asymptotically tracking stability in the sense of uniformly ultimate boundedness is achieved in a short time.

Finally, the performance of the proposed controller is testified through simulation results.

American Psychological Association (APA)

Luo, Shaohua. 2014. Nonlinear Dynamic Surface Control of Chaos in Permanent Magnet Synchronous Motor Based on the Minimum Weights of RBF Neural Network. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014327

Modern Language Association (MLA)

Luo, Shaohua. Nonlinear Dynamic Surface Control of Chaos in Permanent Magnet Synchronous Motor Based on the Minimum Weights of RBF Neural Network. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1014327

American Medical Association (AMA)

Luo, Shaohua. Nonlinear Dynamic Surface Control of Chaos in Permanent Magnet Synchronous Motor Based on the Minimum Weights of RBF Neural Network. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014327

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1014327