Model predictive and linear quadratic Gaussian control of a wind turbine. (29th February 2016)

• Record Type: Journal Article
• Authors: Hur, S.; Leithead, W. E.
• Is Part Of: Optimal control applications and methods. Volume 38:Number 1(2017)
• Page Start: 88
• Page End: 111
• Publication Date: 2016-02-29
• Subjects: wind turbine control -- model predictive control -- linear quadratic gaussian -- observer; Control theory -- Periodicals; Mathematical optimization -- Periodicals; 629.8312
• DOI: 10.1002/oca.2244
• Languages: English
• ISSNs: 0143-2087

Abstract

Summary: Model Predictive and linear quadratic Gaussian controllers are designed for a 5MW variable‐speed pitch‐regulated wind turbine for three operating points – below rated wind speed, just above rated wind speed, and above rated wind speed. The controllers are designed based on two different linear dynamic models (at each operating point) of the same wind turbine to study the effect of utilising different control design models (i.e. the model used for designing a model‐based controller) on the control performance. The performance of the LQG controller is enhanced by improving the robustness, achieved by replacing the Kalman filter with a modified Luenberger observer, whose gain is obtained to minimise the effect of uncertainty and disturbance. Copyright © 2016 John Wiley & Sons, Ltd.