The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
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Variable-speed wind energy conversion systems based on permanent magnet synchronous generators (PMSG) are becoming increasingly popular over the recent years and PMSGs are being adopted by many wind turbine manufacturers especially due to several advantages such as high energy density, low maintenance, self-excitation and direct-drive operation. Vector control is currently the most widely used control strategyin PMSGs to achieve decoupling between the magnetic flux and torguqe via the direct and quadrature components of the current respectively.The major disadvantage of this method is the use of current sensors to ensure accurate decoupling. In this work, a decoupling vector control strategy based on Type-1 and Type-2 fuzzy logic is proposed eliminating the use of current sensors. In addition, a maximum power point tracking (MPPT) technique is proposed to optimise the power extracted from the wind turbine system. Two speed control methodes based on adaptive Type-1 and Type-2 fuzzy logic fractional proportional and integral (PI) controllers. Several simulations are presented to demonstrated the effectiveness of the proposed control schemes for the PMSG-based wind energy conversion system.
PL
Generator synchroniczny z magnesem trwałym PMSG odgrywa kluczową rolę w konwersji energii wiatru (WECS). Sterowanie wektorowe było najczęściej stosowane jako strategia sterowania dla tego generatora w celu zapewnienia oddzielenia prądu stałego od kwadratury. Wadą tej metody jest to, że potrzebuje czujników prądu, aby zapewnić oddzielenie. Artykuł koncentruje się na sterowaniu wektorem oddzielającym opartym na logice rozmytej typu 1 (DFLC1_VC) i logice rozmytej typu 2 (DFLC2_VC). Możemy zapewnić kontrolę systemu, a oddzielenie bez użycia czujników prądu zapewnia kontrolę i odsprzęgnięcie w tym samym czasie. Wyniki symulacji wykazały skuteczność proponowanych strategii kontroli WECS w oparciu o PMSG.
Fuzzy logic has always been one of the key research areas in the field of computer science as it helps in dealing with the real world vagueness and uncertainty. In recent years, a variant of it, Type-2 Fuzzy Logic has gained enormous popularity for research purposes. In this paper, an analytical insight is provided into the research patterns of Type-2 Fuzzy logic. Web of Science has been used as the data source which consists of Science Citation Index- Expanded (SCI-E), SSCI, A&HCI and ESCI indexed research papers. 600 research papers were extracted from it in the field of Type-2 fuzzy logic from the year 2000 to 2016, which are analyzed both manually and in an automated manner. The performed study is Scientometric in nature and helps in answering research questions like control terms and top authors in this field, the growth pattern in research publications, top funding agencies and countries etc. The major goal of this study is to analyze the research work in type-2 fuzzy logic so as to track the growth of this discipline through the years and envision future trends in this area.
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