当前位置: X-MOL 学术IEEJ Trans. Electr. Electron. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Improved Auto Disturbance Rejection Control Based on Moth Flame Optimization for Permanent Magnet Synchronous Motor
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1 ) Pub Date : 2021-06-28 , DOI: 10.1002/tee.23410
Longda Wang 1 , Xingcheng Wang 1 , Gang Liu 2 , Yan Li 3
Affiliation  

In this paper, an improved auto disturbance rejection controller (ADRC) is applied to permanent magnet synchronous motor (PMSM) speed control system. Specifically, the improved ADRC is proposed to solve the defect that the nonlinear function of traditional ADRC is not differentiable at the piecewise point. In addition, considering that there are numerous parameters to be optimized in ADRC, an improved moth-flame optimization (MFO) is proposed to obtain ADRC parameters, and adaptive inertia weight coefficient and optimization mechanism based on the fusion of refraction operation and chaotic search are proposed to improve the convergence speed and optimization accuracy for MFO. Simulation and experimental results show that the improvement strategies proposed in this paper can increase the optimization performance for MFO algorithm effectively so that obtained more appropriative ADRC parameters. The improved ADRC can effectively improve the tracking control performance of PMSM speed control system. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

基于飞蛾火焰优化的永磁同步电机改进自抗扰控制

在本文中,一种改进的自抗扰控制器(ADRC)应用于永磁同步电机(PMSM)速度控制系统。具体而言,针对传统ADRC非线性函数在分段点不可微的缺陷,提出了改进的ADRC。此外,考虑到ADRC中需要优化的参数众多,提出了一种改进的蛾焰优化(MFO)来获得ADRC参数,并基于折射运算和混沌搜索融合的自适应惯性权重系数和优化机制是提出了提高 MFO 的收敛速度和优化精度。仿真和实验结果表明,本文提出的改进策略可以有效提高MFO算法的优化性能,从而获得更合适的ADRC参数。改进后的ADRC可以有效提高永磁同步电机调速系统的跟踪控制性能。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。
更新日期:2021-07-16
down
wechat
bug