Title :
Design of Robust Controller for Wind Turbines
Author :
Athanasius, G.X. ; Zhu, J.G.
Author_Institution :
Sch. of Electr., Mech. & Mechatron. Syst., Univ. of Technol. Sydney, Sydney, NSW, Australia
Abstract :
To optimise the performance of the wind generation, wind turbines employ variable speed (VS) variable pitch (VP) control system. Wind turbine is a complex nonlinear mechanical system exposed to uncontrolled wind profiles. Due to this, dynamic and parametric uncertainties arise in the mathematical model of the wind turbines over different operating conditions. This makes the turbine controller design a challenging task. This paper addresses the problem of designing robust control system for wind turbines in the presence of uncertainties using Minimax LQG (linear quadratic gaussian) design methodology. Using this approach the parameter variations and the model uncertainties are represented using Integral Quadratic Constraints (IQCs). Controllers are synthesised using LMI approach. The designed controllers provide robust performance in the presence of the specified uncertainties. Controllers are designed for a test case system and simulation results are presented.
Keywords :
control system synthesis; linear matrix inequalities; mathematical analysis; minimax techniques; power generation control; robust control; wind turbines; IQC; LMI approach; VS VP control system; dynamic uncertainties; integral quadratic constraints; linear quadratic gaussian design; mathematical model; minimax LQG; nonlinear mechanical system; parametric uncertainties; robust controller design; turbine controller design; variable speed variable pitch control system; wind turbines; Control systems; Design methodology; Mathematical model; Mechanical systems; Mechanical variables control; Minimax techniques; Nonlinear dynamical systems; Robust control; Uncertainty; Wind turbines;
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2009 2nd International Conference on
Conference_Location :
Nagpur
Print_ISBN :
978-1-4244-5250-7
Electronic_ISBN :
978-0-7695-3884-6
DOI :
10.1109/ICETET.2009.77