Title: Hybrid Petri network super twisting sliding mode control of wind turbine for maximum power point tracking

Authors: Aghiles Ardjal; Rachid Mansouri; Maamar Bettayeb

Addresses: Laboratoire de Conception et Conduite des Systèmes de Production (L2CSP), UMMTO, BP 17 RP, 15000, Tizi-Ouzou, Algeria ' Laboratoire de Conception et Conduite des Systèmes de Production (L2CSP), UMMTO, BP 17 RP, 15000, Tizi-Ouzou, Algeria ' Electrical and Computer Engineering Department, University of Sharjah, University City Rd - Sharjah, United Arab Emirates; Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, Saudi Arabia

Abstract: This paper deals with a hybrid sliding mode control and super twisting algorithm second order sliding mode control with Petri network (HSMC-STA) applied to reach the maximum power point tracking (MPPT) of a variable speed wind energy conversion system. It is aimed to solve the main and major undesired phenomenon faced by conventional sliding mode control, the high frequency oscillations (chattering), and to reduce the transient response (rise time) of super twisting algorithm second order sliding mode control systems. The design of a hybrid controller based on switching Petri network sliding mode control (PNSMC) is proposed, wherein a Petri network is used to supervise and switch between the classical sliding mode control law and the super twisting control law. The new hybrid controller is tested in a Simulink/MATLAB environment. Simulation results of the proposed control scheme present good dynamic and steady-state performance compared to the classical SMC and high order sliding mode with respect to the reduction of the chattering phenomenon and transient response.

Keywords: sliding mode super twisting; robust control; Petri network; wind turbine; maximum power point tracking; MPPT.

DOI: 10.1504/IJAAC.2019.102672

International Journal of Automation and Control, 2019 Vol.13 No.6, pp.698 - 716

Received: 28 Feb 2018
Accepted: 05 Jul 2018
Published online: 01 Oct 2019 *

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