A Hybrid Dynamic Nonlinear Controller for Variable Speed Wind Turbine in Low Wind Velocity Regime

Abstract

The purpose of this paper is to propose a new control approach to be applied to a variable ro- tor speed wind turbine at a low wind velocity zone. The aim is to reduce dynamic mechanical loads and optimize energy production by acting on the generator torque through a new hybrid adaptive controller. This combines two well-known nonlinear methods: nonlin- ear control based on Radial Basis Function Neural Networks used to estimate the nonlinear part of the wind turbine system and Integral Sliding Mode Con- trol to tackle system uncertainties. Lyapunov’s ap- proach has been applied to assess the stability of this new controller. Then, simulations were carried out using the Matlab/Simulink software package. The ob- tained results demonstrated the superior performance of the hybrid controller compared to each controller taken alone.