摘要
针对永磁同步电机参数辨识精度较低,速度较慢的问题,提出一种基于混沌自适应冠豪猪优化算法(C-CPO)的永磁同步电机PI控制策略。该算法在冠豪猪优化算法(CPO)的基础上引入了混沌映射,使得初始种群的多样性增强。使用MATLAB软件中的Simulink建立永磁同步电机模型,主要对比传统PI控制策略与C-CPO算法的永磁同步电机PI控制在启动环节的速度、电磁转矩以及定子电流的差异,验证了C-CPO算法PI控制器下的永磁同步电机具有更好的鲁棒性和稳定性。
To solve the problem of low precision and slow speed of permanent magnet synchronous motor(PMSM)parameter identification,a proportional-integral(PI)control strategy of PMSM based on chaotic adaptive Crested Porcupine Optimizer(C-CPO)is proposed in this paper.The algorithm introduced chaotic mapping on the basis of the Crested Porcupine Optimizer(CPO)to enhance the diversity of the initial population.In this paper,the PMSM model is established by using Simulink in MATLAB software,which mainly compares the differences between the traditional PI control strategy and the C-CPO algorithm in the speed,electromagnetic torque and stator current of the permanent magnet synchronous motor PI control in the starting stage.It is verified that the PMSM based on C-CPO algorithm PI controller has better robustness and stability.
作者
张家琛
邱楠
刘浩
ZHANG Jiachen;QIU Nan;LIU Hao(School of Locomotive and Rolling Stock Engineering,Dalian Jiaotong University,Dalian 116028,China)
出处
《微纳电子与智能制造》
2024年第2期57-61,共5页
Micro/nano Electronics and Intelligent Manufacturing
关键词
永磁同步电机
冠豪猪优化算法
混沌映射
PI控制器
permanent magnet synchronous motor
Crested Porcupine Optimizer
chaotic mapping
PI controller
作者简介
张家琛,硕士,主要研究方向为电力电子与电力传动。E-mail:1412294942@qq.com;通信作者:邱楠,讲师,主要研究方向为电力电子与电力传动。E-mail:nananqiu@126.com
