Fixed-Time Adaptive Chaotic Control for Permanent Magnet Synchronous Motor Subject to Unknown Parameters and Perturbations

Author:

Yao Qijia1ORCID,Jahanshahi Hadi2,Bekiros Stelios34ORCID,Liu Jinping5ORCID,Al-Barakati Abdullah A.6ORCID

Affiliation:

1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

2. Institute of Electrical and Electronics Engineers, Toronto, ON M5V 3T9, Canada

3. Faculty of Economics, Management & Accountancy (FEMA), University of Malta, MSD 2080 Msida, Malta

4. LSE Health, Department of Health Policy, London School of Economics and Political Science, London WC2A 2AE, UK

5. College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China

6. Communication Systems and Networks Research Group, Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Abstract

It is well known that the permanent magnet synchronous motor (PMSM) exhibits chaotic characteristics when its parameters fall within a certain range, which can lead to system instability. This article proposes an adaptive control strategy for achieving the fixed-time chaotic stabilization of PMSM, even in the presence of unknown parameters and perturbations. The developed controller is synthesized by combining a parametric adaptive mechanism with a fixed-time control technique. The stability analysis demonstrates that the system states under the developed controller can converge to small neighborhoods around the equilibrium point within a fixed time. Thanks to the adoption of the parametric adaptive mechanism, the developed controller is not only insensitive to unknown parameters but also robust against perturbations. Finally, simulated studies are conducted to verify and emphasize the effectiveness of the developed control strategy.

Funder

Institutional Fund Projects

Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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