关键词: 风力发电, 自抗扰控制技术, 牛顿拉夫逊算法, 非线性函数

Abstract: In order to solve the problem that the direct drive wind power control system based on active disturbance rejection control has many relevant control parameters and the effect of manual adjustment is difficult to achieve optimal,a parameter optimization method with improved Newton-Raphson-based optimizer was proposed, and the Cubic chaotic map was used to uniformly initialize the population and improve the population diversity. The introduction of nonlinear gain function can effectively balance the global exploration and local development capabilities,and the position update strategy can be adjusted by adaptive weights to further improve the local convergence accuracy and reduce the phenomenon of
repeated searches. The proposed algorithm was compared with other algorithms under the standard test function,and the test results show that the convergence speed and jumping out of the local optimal ability of the proposed algorithm are better. The results showed that the dynamic response of the control system after the optimization parameters were better,which proved the effectiveness of the algorithm.

Key words: wind turbine,active disturbance rejection control,Newton-Raphson-based optimizer,nonlinear function