Abstract
In general, the modelling of wind turbines is a challenging task, since they are complex dynamic systems, whose aerodynamics are nonlinear and unsteady. Accurate models should contain many degrees of freedom, and their control algorithm design must account for these complexities. However, these algorithms must capture the most important turbine dynamics without being too complex and unwieldy, mainly when they have to be implemented in real-time applications. The first contribution of this work consists of providing an application example of the design and testing through simulations, of a data-driven fuzzy wind turbine control. In particular, the strategy is based on fuzzy modelling and identification approaches to model-based control design. Fuzzy modelling and identification can represent an alternative for developing experimental models of complex systems, directly derived directly from measured input-output data without detailed system assumptions. Regarding the controller design, this paper suggests again a fuzzy control approach for the adjustment of both the wind turbine blade pitch angle and the generator torque. The effectiveness of the proposed strategies is assessed on the data sequences acquired from the considered wind turbine benchmark. Several experiments provide the evidence of the advantages of the proposed regulator with respect to different control methods.
Highlights
Wind turbines are complex nonlinear dynamic systems forced by gravity and stochastic wind disturbance, which are affected by gravitational, centrifugal, and gyroscopic loads
This section describes the simulation results achieved with the method relying on both the fuzzy modelling techniques oriented to the design of the fuzzy controller
The paper is focused on the control design problem for wind turbines, since they are complex nonlinear dynamic systems
Summary
Wind turbines are complex nonlinear dynamic systems forced by gravity and stochastic wind disturbance, which are affected by gravitational, centrifugal, and gyroscopic loads. Some turbines perform the control action through passive methods, such as in fixed-pitch, stall control machines In these machines, the blades are designed so that the power is limited above rated wind speed through the blade stall. This paper suggests a fuzzy control approach for the adjustment of both the wind turbine blade pitch angle and the generator torque, with application to a wind turbine benchmark. This design is performed according to the following steps. The achieved results and comparisons with different control strategies are summarised, where the stability, the robustness analysis, and the capabilities of the developed control method with respect to measurement and modelling errors are investigated in simulation.
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