Tracking control strategy of wind turbine blade fatigue test system
                                                      YU Xiangyong, WEI Xiuting, HUANG Xuemei, ZHANG Leian
                            （School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China）

Abstract: Aiming at the key problem of tracking control of the actual amplitude and the target amplitude in the process of wind power blade fatigue test, a tracking control strategy based on the actual amplitude and the target amplitude of RLS algorithm was proposed, and a set of wind power blade fatigue test system was designed. The adaptive filtering and amplitude response strategy based on RLS algorithm was adopted. By adjusting the weighted value in RLS algorithm, the interference noise and amplitude oscillations in the actual test process were solved, and the effective tracking of blade amplitude was realized. A test system model based on Matlab/Simulink was constructed, and the adaptive filtering and amplitude response effects of the algorithm were verified by combining with field tests. The results show that the amplitude tracking control strategy based on RLS algorithm can effectively ensure the following between the actual amplitude and the target amplitude, and the amplitude tracking error does not exceed +/-5% of the effective amplitude, which is of certain guiding significance for the theoretical research and practical application of wind power blade fatigue.

Key words: wind power blades; fatigue test; tracking algorithm; simulation platform based on Matlab/Simulink; reality testing