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      Super-Twisting Sliding Mode Control for Gearless PMSG-Based Wind Turbine

      1 , 2 , 3
      Complexity
      Hindawi Limited

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          Abstract

          In recent years, the complexities of wind turbine control are raised while implementing grid codes in voltage sag conditions. In fact, wind turbines should stay connected to the grid and inject reactive power according to the new grid codes. Accordingly, this paper presents a new control algorithm based on super-twisting sliding mode for a gearless wind turbine by a permanent magnet synchronous generator (PMSG). The PMSG is connected to the grid via the back-to-back converter. In the proposed method, the machine side converter regulates the DC-link voltage. This strategy improves low-voltage ride through (LVRT) capability. In addition, the grid side inverter provides the maximum power point tracking (MPPT) control. It should be noted that the super-twisting sliding mode (STSM) control is implemented to effectively deal with nonlinear relationship between DC-link voltage and the input control signal. The main features of the designed controller are being chattering-free and its robustness against external disturbances such as grid fault conditions. Simulations are performed on the MATLAB/Simulink platform. This controller is compared with Proportional-Integral (PI) and the first-order sliding mode (FOSM) controllers to illustrate the DC-link voltage regulation capability in the normal and grid fault conditions. Then, to show the MPPT implementation of the proposed controller, wind speed is changed with time. The simulation results show designed STSM controller better performance and robustness under different conditions.

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          Most cited references18

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          Sliding Mode Control and Observation

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            A review of maximum power point tracking algorithms for wind energy systems

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              Optimal and Direct-Current Vector Control of Direct-Driven PMSG Wind Turbines

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                Author and article information

                Journal
                Complexity
                Complexity
                Hindawi Limited
                1076-2787
                1099-0526
                April 22 2019
                April 22 2019
                : 2019
                : 1-15
                Affiliations
                [1 ]Department of Electrical Engineering, Faculty of Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran
                [2 ]Advanced Control Systems Laboratory, Department of Electrical Engineering, University of Zanjan, University Blvd., 45371-38791, Zanjan, Iran
                [3 ]Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK
                Article
                10.1155/2019/6141607
                ebb224e7-09ad-434f-a8f8-b4a02ff4235e
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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