Open AccessFuzzy Observer Design for PV Conversion System with Fault Effects
Author(s) -
VanPhong Vu,
Van-Thuyen Ngo,
DinhNhon Truong
Publication year - 2022
Publication title -
technical education science/giáo dục kỹ thuật
Language(s) - English
Resource type - Journals
eISSN - 2615-9740
pISSN - 1859-1272
DOI - 10.54644/jte.68.2022.1097
Subject(s) - control theory (sociology) , observer (physics) , photovoltaic system , nonlinear system , linear matrix inequality , fuzzy logic , computer science , control engineering , fault (geology) , mathematics , engineering , mathematical optimization , control (management) , artificial intelligence , seismology , physics , quantum mechanics , geology , electrical engineering
This paper proposes a new approach to design an observer for the Photovoltaic conversion system. Originally, the PV conversion system is modeled under the nonlinear framework that is difficult for designing the observer. Thus, in this work, the original nonlinear form of the PV conversion system will be transformed to the T-S fuzzy model with the existence of the disturbance. Unlike the previous articles, the PV conversion system in this work is affected by the faults, and the fault impacts not only the system but also the output. The observer is designed to estimate the unknown states and the faults of the PV conversion system asymptotically as well as eliminate the impact of the disturbance. The augment technique is employed to modify the PV conversion system. With the aid of the Lyapunov theory and Linear Matrix Inequality (LMI) technique, the conditions for observer design have been proposed in the main theorem. Finally, the simulation results are also provided to prove the success and merit of the proposed method.