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Lidar-assisted model predictive control of wind turbine fatigue via online rainflow counting considering stress history
2022
Wind Energy Science
Abstract. The formulation of parametric online rainflow counting implements the standard fatigue estimation process and a stress history in the cost function of a model predictive controller. The formulation is tested in realistic simulation scenarios in which the states are estimated by a moving horizon estimator and the wind is predicted by a lidar simulator. The tuning procedure for the controller toolchain is carefully explained. In comparison to a conventional model predictive controller
doi:10.5194/wes-7-1605-2022
fatcat:h5azjwl74fhhrahq6xio5m4s5a