永磁同步电机的自抗扰控制器参数自整定  

Parameter Self-tuning of ADRC for PMSM

作　　者：李真 王帆[1,2,3] 王冉珺 Li Zhen;Wang Fan;Wang Ranjun(Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Science and Technology on Space Optoelectronic Precision Measurement,Chinese Academy of Sciences,Chengdu 610209,China)

机构地区：[1]中国科学院光电技术研究所,成都610209 [2]中国科学院大学,北京100049 [3]中国科学院空间光电精密测量技术重点实验室,成都610209

出　　处：《计算机测量与控制》2021年第5期92-96,共5页Computer Measurement &Control

摘　　要：当永磁同步电机的工作环境和工作任务发生改变时,被控对象的模型会出现较大的变化;由于每次模型改变都要对控制器的参数进行调整,为了简单、快速地对线性自抗扰控制器的参数ω0、ωc、b 0进行整定,设计了一种基于改进粒子群的算法的参数自整定方法;该算法引入了自适应权重因子从而兼顾了粒子的局部搜索能力和全局搜索能力;为了避免粒子陷入局部最优解,采用了对粒子群进行柯西变异的方法使粒子跳出局部最优从而找到全局最优解;仿真实验表明,采用改进粒子群算法整定的线性自抗扰控制器跟踪误差比较标准粒子群算法整定的控制器的跟踪误差降低了4.89%,且比标准粒子群算法收敛速度提高了50%、收敛精度平均提高了73个数量级。When the working environment and task of PMSM change,the model of the controlled object will change greatly.Because every time the model changes,the parameters of the controller must be adjusted.In order to adjust the parametersω0、ωc、b 0 of the linear ADRC simply and quickly,a parameter self-tuning method based on the improved particle swarm optimization algorithm is designed.The adaptive weight factor is introduced in the algorithm,which takes into account the local search ability and global search ability of particles.In order to avoid the particle falling into the local optimal solution,the Cauchy mutation method is used to make the particle jump out of the local optimal solution and find the global optimal solution.Simulation results show that the tracking error of the linear active disturbance rejection controller adjusted by the improved particle swarm optimization algorithm is reduced by 4.89%,and the convergence speed is increased by 50%compared with the standard particle swarm optimization algorithm,and the convergence accuracy is improved by 73 orders of magnitude on average.

关 键 词：永磁同步电机 自抗扰控制器 参数整定 粒子群算法 柯西变异 自适应权重 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]