Stochastic Vibrations Control of Wind Turbine Blades Based on Wireless Sensor
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This paper presents an active controller design to suppress blade edgewise vibrations based on the signal from the wireless sensor. A thorough analysis on concepts for wireless sensors applications for blades is performed. Considering the structural dynamics subjected to gravity and turbulent aerodynamic loadings, a model described dynamics of rotating blades coupled with tower was applicated for control design. Taking the aerodynamic load input in edgewise direction and gravitational load as unknown disturbance input, a stochastic disturbance accommodating control approach is proposed to design a controller with estimate both state and unknown input by a minimum-variance unbiased estimator. The stability analysis proved that the closed loop system is bounded on mean square. In order to verify the performance of the minimum-variance unbiased estimator and the proposed SDAC, numerical simulations using Matlab have been carried out for a 5-MW wind turbine. It is shown the proposed control scheme can further reduce vibration displacement. This study provides a feasibility of future implementation structure control in wind turbine blades.
KeywordsBlade vibrations Unknown input estimator Minimum-variance estimation Stochastic disturbance accommodating control Wireless sensor