Robust estimation based nonlinear higher order sliding mode control strategies for PMSG-WECS

• Autorzy: Nazir Awais , Khan Safdar Abbas , Khan Malak Adnan , Alam Zaheer , Khan Imran , Irfan Muhammad , Rehman Saifur , Nowakowski Grzegorz

Identyfikatory

DOI

10.24425/bpasts.2023.147063

• Języki publikacji: EN

Abstrakty

EN

The wind energy conversion systems (WECS) suffer from an intermittent nature of source (wind) and the resulting disparity between power generation and electricity demand. Thus, WECS are required to be operated at maximum power point (MPP). This research paper addresses a sophisticated MPP tracking (MPPT) strategy to ensure optimum (maximum) power out of the WECS despite environmental (wind) variations. This study considers a WECS (fixed pitch, 3KW, variable speed) coupled with a permanent magnet synchronous generator (PMSG) and proposes three sliding mode control (SMC) based MPPT schemes, a conventional first order SMC (FOSMC), an integral back-stepping-based SMC (IBSMC) and a super-twisting reachability-based SMC, for maximizing the power output. However, the efficacy of MPPT/control schemes rely on availability of system parameters especially, uncertain/nonlinear dynamics and aerodynamic terms, which are not commonly accessible in practice. As a remedy, an off-line artificial function-fitting neural network (ANN) based on Levenberg-Marquardt algorithm is employed to enhance the performance and robustness of MPPT/control scheme by effectively imitating the uncertain/nonlinear drift terms in the control input pathways. Furthermore, the speed and missing derivative of a generator shaft are determined using a high-gain observer (HGO). Finally, a comparison is made among the stated strategies subjected to stochastic and deterministic wind speed profiles. Extensive MATLAB/Simulink simulations assess the effectiveness of the suggested approaches.

Słowa kluczowe

EN

wind energy conversion systems; WECS; robust control; maximum power point tracking; MPPT; sliding mode control; SMC; super-twisting algorithm; STA; high gain observer; artificial neural network; ANN; function fitting; backstepping

PL

WECS; śledzenie maksymalnego punktu mocy; MPPT; SMC; STA; obserwator o dużym wzmocnieniu; sztuczna sieć neuronowa; ANN; dopasowanie funkcji; system konwersji energii wiatrowej; sterowanie odporne; backstepping; sterowanie ślizgowe; algorytm super skręcania

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 5
• Strony: art. no. e147063
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Nazir Awais

• Department of Electrical Engineering, National University of Science and Technology, Pakistan

autor

Khan Safdar Abbas

• Department of Electrical Engineering, National University of Science and Technology, Pakistan

autor

Khan Malak Adnan

• Department of Electronics Engineering, University of Engineering and Technology Peshawar, Abbottabad campus, Pakistan

autor

Alam Zaheer

• Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Pakistan

autor

Khan Imran

• Department of Electrical, Electronics and Computer Systems, College of Engineering and Technology, University of Sargodha, Pakistan

autor

Irfan Muhammad

• Electrical Engineering Department, College of Engineering, Najran University, Saudi Arabia

autor

Rehman Saifur

• Electrical Engineering Department, College of Engineering, Najran University, Saudi Arabia

autor

Nowakowski Grzegorz

• Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland

Bibliografia

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• [21] I.U. Khan, L. Khan, Q. Khan, S. Ullah, U. Khan, and S. Ahmad, “Neuro-adaptive backstepping integral sliding mode control design for nonlinearwind energy conversion system,” Turk. J. Electr. Eng. Comput. Sci., vol. 29, no. 2, pp. 531–547, 2021.
• [22] M. Mat-Noh, M. Arshad, R. Mohd-Mokhtar, and Q. Khan, “Back-stepping integral sliding mode control (bismc) application in a nonlinear autonomous underwater glider,” in 2017 IEEE 7th International Conference on Underwater System Technology: Theory and Applications (USYS). IEEE, 2017, pp. 1–6.
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).