Multimodel Gain Scheduled Quadratic Controller for Variable-Speed Wind Turbines Performances Improvement

摘要

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.