Transactions of Nanjing University of Aeronautics & Astronautics
Design of Wind Turbine Torque Controller with Second-Order Integral Sliding Mode Based on VGWO Algorithm
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Abstract:
A robust control strategy using the second-order integral sliding mode control （SOISMC） based on the variable speed grey wolf optimization （VGWO） is proposed. The aim is to maximize the wind power extraction of wind turbine. Firstly， according to the uncertainty model of wind turbine， a SOISMC torque controller with fast convergence speed， strong robustness and effective chattering reduction is designed， which ensures that the torque controller can effectively track the reference speed. Secondly， given the strong local search ability of the grey wolf optimization （GWO） and the fast convergence speed and strong global search ability of the particle swarm optimization （PSO）， the speed component of PSO is introduced into GWO， and VGWO with fast convergence speed， high solution accuracy and strong global search ability is used to optimize the parameters of wind turbine torque controller. Finally， the simulation is implemented based on Simulink/SimPowerSystem. The results demonstrate the effectiveness of the proposed strategy under both external disturbance and model uncertainty.
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Clc Number:
TN925
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