Robust fractional order sliding mode control of doubly-fed induction generator (DFIG)-based wind turbines |
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Affiliation: | 1. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China;2. Hypervelocity Aerodynamics Institute, China Aerodynamics Research & Development Center, Mianyang 621000, PR China;3. Mechatronics, Embedded Systems and Automation (MESA) Lab, School of Engineering, University of California, Merced, 5200 North Lake Road, Merced, CA 95343, USA;4. Electrical and Computer Engineering Department, Utah State University, Logan, UT 84321, USA;5. School of Mathematics Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China |
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Abstract: | Wind power plants have nonlinear dynamics and contain many uncertainties such as unknown nonlinear disturbances and parameter uncertainties. Thus, it is a difficult task to design a robust reliable controller for this system. This paper proposes a novel robust fractional-order sliding mode (FOSM) controller for maximum power point tracking (MPPT) control of doubly fed induction generator (DFIG)-based wind energy conversion system. In order to enhance the robustness of the control system, uncertainties and disturbances are estimated using a fractional order uncertainty estimator. In the proposed method a continuous control strategy is developed to achieve the chattering free fractional order sliding-mode control, and also no knowledge of the uncertainties and disturbances or their bound is assumed. The boundedness and convergence properties of the closed-loop signals are proven using Lyapunov?s stability theory. Simulation results in the presence of various uncertainties were carried out to evaluate the effectiveness and robustness of the proposed control scheme. |
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Keywords: | Fractional order surface Doubly-fed induction generator (DFIG) Uncertainty estimation Wind turbine |
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