Abstract
This paper deals with the design of a linear quadratic (LQ) control law combined with a multimodel approach for variable-speed, variable-pitch wind turbines in order to improve their performances, especially the system global dynamic. The control law is based on a linearization of the system around a selected set of operating points. Hence, a set of linear local models (sub-models) is defined to describe the wind turbine functioning in the high wind speeds operating range. A state observer is used to estimate the immeasurable state variables. Thereafter, a global asymptotic stability analysis is developed by solving a bilinear matrix inequality (BMI) feasibility problem based on the local stability of the sub-models.
This work was originally presented in the ICINCO’09 Conference, Milan, 2009. This work was supported by the CMCU project number: 08G1120.
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Khezami, N., Guillaud, X., Braiek, N.B. (2011). Multimodel Gain Scheduled Quadratic Controller for Variable-Speed Wind Turbines Performances Improvement. In: Cetto, J.A., Filipe, J., Ferrier, JL. (eds) Informatics in Control Automation and Robotics. Lecture Notes in Electrical Engineering, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19730-7_8
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DOI: https://doi.org/10.1007/978-3-642-19730-7_8
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