Research on Active Disturbance Rejection Control of PMSM Based on Improved BOA

In order to solve the problems of low control accuracy, poor anti-interference ability and poor robustness due to the interference and parameter changes of the servo system of permanent magnet synchronous motor (PMSM) under PI control, an improved active disturbance rejection control strategy is proposed. On the basis of linearisation and bandwidth of the extended state observer, the controller parameters are combined with the bandwidth in the project. Furthermore, to improve the parameter optimization tuning effect, the butterfly optimization algorithm is not high in convergence accuracy, speed and stationarity, and it is easy to avoid falling into the problem of local optimum, the reverse learning strategy, Cauchy variation and sine and cosine guidance mechanism are introduced to optimise the algorithm, and simulation experiments are carried out. The results show that compared with the traditional Proportion Integral(PI) control and active disturbance rejection control, the proposed method can quickly track a given speed, has higher control speed, and can be used to control the local optimum. The results show that compared with the traditional PI control and active disturbance rejection control, the proposed method can quickly track a given speed, has higher control accuracy and anti-interference ability, and effectively ensures the robustness of the PMSM servo system.