LPV Control of Wind Turbine with Hydrostatic Transmission Under Inaccurate Wind Speed Measurement

This research considers a new gain-scheduled output feedback (GSOF) control method in order to control wind turbine embedded with hydrostatic transmission. First of all, the linear parameter varying (LPV) representation of nonlinear system is attained. Then the GSOF control structure based on induced ℒ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\cal L}_2}$$\end{document}-gain performance minimization is designed. The control method is particularly suited to cope with wind speed measurement uncertainty. Also another advantage of the presented control method lies in controlling wind turbine in the whole operating region without performance reduction. The control method is validated through simulation on 5 MW wind turbine benchmark and also is compared with gain scheduled quadratic regulator control method. Simulation results indicate the effectiveness of the presented algorithm in improving the overall performance of the wind turbine in whole wind speed region in existence of the wind speed uncertainty.