Active Disturbance Rejection Control of Permanent Magnet Synchronous Motor Based on Improved Dung Beetle Algorithm

Aiming at the problems of many parameters, difficult parameter adjustment and low efficiency of active disturbance rejection controller (ADRC) in permanent magnet synchronous motor (PMSM) speed control system, this paper proposes an active disturbance rejection parameter tuning method based on improved dung beetle optimization algorithm (HDBO). The HDBO algorithm improves the original DBO algorithm through two main steps: (1) The cubic chaotic initialization strategy is used to generate the initial population, increase the quality of the initial population, and enhance the global search ability of the algorithm. (2) The levy flight strategy is used to enhance the ability of the algorithm to jump out of the local optimum. 23 benchmark functions are used to test the improved algorithm. The results show that the improved algorithm has better solution accuracy, convergence speed and stability than other algorithms. Finally, we also apply the HDBO algorithm to the parameter tuning of the active disturbance rejection controller. The simulation results show that the control strategy proposed in this paper has a significant improvement in computational efficiency, control accuracy, response speed and other aspects compared with the traditional controller. The system reflects good control effect.