Energy-Based Combined Nonlinear Observer and Voltage Controller for a PMSG Using Fuzzy Supervisor High Order Sliding Mode in a Marine Current Power System

Youcef Belkhier, Abdelyazid Achour, Rabindra Nath Shaw, Nasim Ullah, Md. Shahariar Chowdhury and Kuaanan Techato
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Youcef Belkhier: Laboratoire de Technology Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria
Abdelyazid Achour: Laboratoire de Technology Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria
Rabindra Nath Shaw: Department of Electronics & Communication Engineering, Galgotias University, Greater Noida 201306, India
Nasim Ullah: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Md. Shahariar Chowdhury: Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand
Kuaanan Techato: Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand

Sustainability, 2021, vol. 13, issue 7, 1-24

Abstract: A permanent magnet synchronous generator (PMSG) in s grid-connected tidal energy conversion system presents numerous advantages such as high-power density and ease of maintenance. However, the nonlinear properties of the generator and parametric uncertainties make the controller design more than a simple challenge. Within this paper we present a new combined passivity-based voltage control (PBVC) with a nonlinear observer. The PBVC is used to design the desired dynamics of the system, while the nonlinear observer serves to reconstruct the measured signals. A high order sliding-mode based fuzzy supervisory approach is selected to design the desired dynamics. This paper addresses the following two main parts: controlling the PMSG to guarantee the maximum tidal power extraction and integrate into to the grid-side converter (GSC), for this the new controller is proposed. The second task is to regulate the generated reactive power and the DC-link voltage to their references under any disturbances related to the machine-side converter (MSC). Furthermore, the robustness of the controller against parameter changes was taken into consideration. The developed controller is tested under parameter variations and compared to benchmark nonlinear control methods. Numerical simulations are performed in MATLAB/Simulink which clearly demonstrates the robustness of the proposed technique over the compared control methods. Moreover, the proposed controller is also validated using a processor in the loop (PIL) experiment using Texas Instruments (TI) Launchpad.

Keywords: tidal renewable energy; nonlinear observer; robust control; passivity-based control; nonlinear control; Fuzzy supervisor (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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