Adaptive Sliding Mode Control for PMSG Wind Turbine Systems

Sung-Won Lee and Kwan-Ho Chun
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Sung-Won Lee: Department of Electrical Engineering, Chungnam National University, Daejeon 34134, South Korea
Kwan-Ho Chun: Department of Electrical Engineering, Chungnam National University, Daejeon 34134, South Korea

Energies, 2019, vol. 12, issue 4, 1-17

Abstract: In this paper, variable speed PMSG wind turbine systems with unknown system parameters, such as vicious friction coefficient and total inertia, are considered. The errors and variations of wind speed are modeled as a disturbance in mechanical torque. In general, the optimum rotating speed is given based on the MPPT (Maximum Power Point Tracking) algorithm and the designed controller tracks the reference (optimum) rotating speed in spite of these parametric uncertainties and disturbances. In order to have a desired rotor speed, a sliding mode current controller is proposed to have robustly stabilizing torque input. From the robustly stabilizing q-axis current i q , q-axis voltage input u q is obtained. Additionally, the d-axis control input u d is designed to regulate the d-axis current i d . The adaptive estimator, for the total inertia J and the viscous friction coefficient F , is designed by a backstepping control technique. The robust stability of the closed-loop system is shown using a Lyapunov function. The proposed controller is verified via a simulation using MATLAB/Simulink.

Keywords: adaptive sliding mode control; backstepping control; permanent magnet synchronous generator (PMSG) wind turbine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (14)

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