Investigation of chaotic behavior and adaptive type-2 fuzzy controller approach for Permanent Magnet Synchronous Generator (PMSG) wind turbine system

Aceng Sambas; Ardashir Mohammadzadeh; Sundarapandian Vaidyanathan; Ahmad Faisal Mohamad Ayob; Amiral Aziz; Mohamad Afendee Mohamed; Ibrahim Mohammed Sulaiman; Mohamad Arif Awang Nawi

doi:10.3934/math.2023285

AIMS Mathematics (Jan 2023)

Investigation of chaotic behavior and adaptive type-2 fuzzy controller approach for Permanent Magnet Synchronous Generator (PMSG) wind turbine system

Aceng Sambas,
Ardashir Mohammadzadeh,
Sundarapandian Vaidyanathan,
Ahmad Faisal Mohamad Ayob ,
Amiral Aziz ,
Mohamad Afendee Mohamed,
Ibrahim Mohammed Sulaiman,
Mohamad Arif Awang Nawi

Affiliations

Aceng Sambas: 1. Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya, Jawa Barat 46196, Indonesia4. Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Malaysia
Ardashir Mohammadzadeh: 2. Electrical Engineering Department, University of Bonab, Bonab, Iran
Sundarapandian Vaidyanathan: 3. Centre for Control Systems, Vel Tech University, Vel Nagar, Avadi, Chennai 600 062, Tamil Nadu
Ahmad Faisal Mohamad Ayob: 4. Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Malaysia
Amiral Aziz: 5. Research Center for Conversion and Conservation Energy-National Research and Innovation Agency Republic of Indonesia (BRIN), South Tangerang 15314, Indonesia
Mohamad Afendee Mohamed: 6. Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
Ibrahim Mohammed Sulaiman: 7. School of Quantitative Sciences, Universiti Utara Malaysia, Sintok, Kedah 06010, Malaysia
Mohamad Arif Awang Nawi: 8. School of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kelantan 16150, Malaysia

DOI: https://doi.org/10.3934/math.2023285
Journal volume & issue: Vol. 8, no. 3
pp. 5670 – 5686

Abstract

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This article begins with a dynamical analysis of the Permanent Magnet Synchronous Generator (PMSG) in a wind turbine system with quadratic nonlinearities. The dynamical behaviors of the PMSG are analyzed and examined using Poincare map, bifurcation model, and Lyapunov spectrum. Finally, an adaptive type-2 fuzzy controller is designed for different flow configurations of the PMSG. An analysis of the performance for the proposed approach is evaluated for effectiveness by simulating the PMSG. In addition, the proposed controller uses advantages of adaptive type-2 fuzzy controller in handling dynamic uncertainties to approximate unknown non-linear actions.

Published in AIMS Mathematics

ISSN: 2473-6988 (Online)
Publisher: AIMS Press
Country of publisher: United States
LCC subjects: Science: Mathematics
Website: http://www.aimspress.com/journal/Math

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