基于GAPSO和自抗扰控制的稀土永磁同步电机性能研究

针对稀土永磁同步电机控制系统存在强耦合、非线性、抗干扰能力差的问题，提出了一种基于遗传粒子群算法（GAPSO）的稀土永磁同步电机自抗扰控制方法。第一步，介绍研究背景并推导出稀土永磁同步电机的数学表达式；第二步，通过设计跟踪微分器、扩张状态观测器以及非线性状态误差方程推导出自抗扰控制器的数学表达式，并利用遗传粒子群算法对其进行优化；第三步，讨论基于GAPSO和自抗扰控制的稀土永磁电机转速性能情况。通过Simulink仿真验证了上述方法的有效性，说明本文设计的自抗扰控制方法对提高电机性能具有促进作用。

Rare Earth Permanent Magnet Synchronous Motor Based on GAPSO and Active Disturbance Rejection Control

In response to the problems of strong coupling, nonlinearity, and poor anti-interference ability in the control system of the rare earth permanent magnet synchronous motor (REPMSM), this paper proposes an active disturbance rejection control method for the REPMSM based on genetic particle swarm optimization (GAPSO). The first step is to introduce the research background and derive the mathematical expression of the REPMSM. In the second step, the mathematical expression of ADRC is derived by designing tracking differentiator, extended state observer and nonlinear state error feedback, and the genetic particle swarm optimization algorithm is used to optimize it. The third step is to discuss the speed performance of the REPMSM based on GAPSO and active disturbance rejection control. The effectiveness of the above methods was verified through Simulink simulation, indicating that the active disturbance rejection control method designed in this paper has a promoting effect on improving motor performance.