Output voltage control of a PMSG with the DPC-SVM technique and high-order sliding mode | Zendy

Mohammed Moumna | Zendy; Rachid Taleb | Zendy; Zinelaabidine Boudjema | Zendy

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Output voltage control of a PMSG with the DPC-SVM technique and high-order sliding mode

Author(s) -

Mohammed Moumna,

Rachid Taleb,

Zinelaabidine Boudjema

Publication year - 2021

Publication title -

indonesian journal of electrical engineering and computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.241

H-Index - 17

eISSN - 2502-4760

pISSN - 2502-4752

DOI - 10.11591/ijeecs.v23.i2.pp772-781

Subject(s) - control theory (sociology) , permanent magnet synchronous generator , matlab , space vector modulation , rectifier (neural networks) , sliding mode control , variable speed wind turbine , wind power , voltage , inverter , turbine , support vector machine , computer science , engineering , ac power , control engineering , control (management) , artificial neural network , artificial intelligence , nonlinear system , physics , mechanical engineering , stochastic neural network , quantum mechanics , recurrent neural network , electrical engineering , operating system

This paper aims to study the control of the output voltage of a wind turbine (WT) which is composed of a permanent magnet synchronous generator (PMSG) connected to an inverter/rectifier. The first tested control on PMSG is based on the classical direct power control (CDPC); this technique uses the active and reactive power as a control variable. Then, to improve the quality of energy and evaluate the performance of the system, we proposed a high-order sliding mode (HOSM) with space vector modulation (SVM) to controlthe output voltage. As a result, the proposed approach presents attractive features such as the chattering-free behavior of the sliding mode. This system was designed for a wind power conversion application in the case of an isolated site. The computer simulations were provided to verify the validity of the proposed control algorithm using the MATLAB/Simulink software.

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