LMI approaches for a robust control of a wind turbine with a hydrostatic transmission

In this paper, two alternative Linear Matrix Inequality (LMI) approaches were used to derive a decentralised control for an innovative 5 MW wind turbine with a hydrostatic transmission. With LMIs, given parameter uncertainties can be considered adequately. The proposed control covers the whole range from low to very high wind speeds. An active damping of tower oscillations is achieved by using the pitch angle as control input. Moreover, a robust multi-variable drive train control is designed that allows for tracking of desired trajectories for the angular velocities of both the rotor and the generator. The overall control performance is illustrated by realistic simulation results, which show an improved damping of tower oscillations and an excellent tracking behaviour for the controlled variables despite parameter uncertainties.

[1]  N.F.B. Diepeveen,et al.  Dynamic modeling of fluid power transmissions for wind turbines , 2011 .

[2]  Ping Hsu,et al.  Optimal aerodynamic energy capture strategies for hydrostatic transmission wind turbine , 2014, 2014 IEEE Conference on Technologies for Sustainability (SusTech).

[3]  Karl Stol,et al.  Individual Blade Pitch Control for the Controls Advanced Research Turbine "CART… , 2006 .

[4]  Amit Dixit,et al.  On the dynamics of the pitch control loop in horizontal-axis large wind turbines , 2005, Proceedings of the 2005, American Control Conference, 2005..

[5]  Horst Schulte,et al.  Control-oriented modelling of wind turbines using a Takagi-Sugeno model structure , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[6]  Harald Aschemann,et al.  Active tower damping for an innovative wind turbine with a hydrostatic transmission , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[7]  Harald Aschemann,et al.  Nonlinear control for load reduction on a variable speed pitch regulated wind turbine , 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

[8]  Horst Schulte,et al.  Control-oriented description of large scale wind turbines with hydrostatic transmission using Takagi-Sugeno models , 2014, 2014 IEEE Conference on Control Applications (CCA).

[9]  Dumitru Popescu,et al.  LQG Control of Horizontal Wind Turbines for Blades and Tower Loads Alleviation , 2011 .

[10]  Harald Aschemann,et al.  Observer-based decentralised control of a wind turbine with a hydrostatic transmission , 2015, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR).

[11]  Harald Aschemann,et al.  Control of a wind turbine with a hydrostatic transmission — An extended linearisation approach , 2012, 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR).

[12]  John Lygeros,et al.  Nonlinear control of wind turbines: An approach based on switched linear systems and feedback linearization , 2011, IEEE Conference on Decision and Control and European Control Conference.

[13]  N. Jenkins,et al.  Wind Energy Handbook: Burton/Wind Energy Handbook , 2011 .