Active Disturbance Rejection Pitch Control of Floating Fan Based on Improved Sparrow Algorithm

As the core component of floating wind turbine, variable rotor system is responsible for the key tasks of adjusting the blade Angle of wind turbine, optimizing the capture of wind energy and ensuring the stable operation of the system. Aiming at the problem of parameter adaptability of traditional PID variable pitch control, the active disturbance rejection control is integrated into variable pitch control, and the speed loop variable pitch active disturbance rejection controller is designed. In view of the complexity of the environment of the variable pitch execution structure, it not only puts forward higher requirements on the performance of the controller, but also increases the difficulty of algorithm optimization. In order to further improve the performance of the controller, the optimization is carried out on the basis of Sparrow algorithm. Sparrow algorithm is an optimization algorithm based on swarm intelligence, which seeks the optimal solution by simulating sparrow’s foraging behavior. However, the traditional Sparrow algorithm may fall into the local optimal when searching for the optimal solution, resulting in less than ideal search results. The Sine chaotic mapping algorithm is used to disturb the optimal solution and search the optimal local solution again. Simulink software was used to build a variable pitch simulation model, and combined with the algorithm, the results were verified. The simulation results showed that the curve of the improved sparrow algorithm was more stable and the fluctuation range was smaller than that of the unimproved Sparrow algorithm.