Adaptive neural network internal model control for PMSM speed regulation

Joint Authors

Furayjat, Zaynab
Zribi, Ali
Chtourou, Muhammad

Source

Journal of Electrical Systems

Issue

Vol. 14, Issue 2 (30 Jun. 2018), pp.118-126, 9 p.

Publisher

Piercing Star House

Publication Date

2018-06-30

Country of Publication

Algeria

No. of Pages

9

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Abstract EN

In this paper, based on the combination of particle swarm optimization (PSO) algorithm and neural network (NN), an adaptive neural network internal model control (NNIMC) is designed for a permanent magnet synchronous motor (PMSM).

Firstly, in order to accelerate the convergent speed and to prevent problems of trapping in local minimum, PSO algorithm is applied in feedforward neural network to optimize the NN model's and the NN controller’s parameters.

For the adaptation of the learning algorithm of the NN controller, gradient descent method is used, secondly, to achieve high-performance speed tracking.

The robustness and effectiveness of the proposed PMSM drive scheme is confirmed by simulation tests in the MATLAB/SIMULINK.

American Psychological Association (APA)

Furayjat, Zaynab& Zribi, Ali& Chtourou, Muhammad. 2018. Adaptive neural network internal model control for PMSM speed regulation. Journal of Electrical Systems،Vol. 14, no. 2, pp.118-126.
https://search.emarefa.net/detail/BIM-835151

Modern Language Association (MLA)

Furayjat, Zaynab…[et al.]. Adaptive neural network internal model control for PMSM speed regulation. Journal of Electrical Systems Vol. 14, no. 2 (2018), pp.118-126.
https://search.emarefa.net/detail/BIM-835151

American Medical Association (AMA)

Furayjat, Zaynab& Zribi, Ali& Chtourou, Muhammad. Adaptive neural network internal model control for PMSM speed regulation. Journal of Electrical Systems. 2018. Vol. 14, no. 2, pp.118-126.
https://search.emarefa.net/detail/BIM-835151

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 126

Record ID

BIM-835151