电机与控制应用2024，Vol.51Issue(1)：97-105,9.DOI:10.12177/emca.2023.158
基于改进花授粉算法的永磁同步电机参数辨识
Parameters Identification of PMSM Based on Improved Flower Pollination Algorithm
高森 1王康 1姜宏昌 1胡继胜1
作者信息
- 1. 大连交通大学 自动化与电气工程学院,辽宁大连 116028
- 折叠
摘要
Abstract
In view of the traditional flower pollination algorithm for parameter identification in permanent magnet synchronous motors,the late iteration often results in easily plunging into a local optimum,leading to slow convergence speed and the defect of low optimization accuracy.An improved flower pollination algorithm based on t-distributed perturbation and Gaussian perturbation(tGFPA)is proposed to realize high-precision identification of permanent magnet synchronous motors.Firstly,the individual position of flowers is initialized by chaotic logistic mapping,and then t-distribution perturbation is introduced in the global pollination process to improve the diversity of search space.Gaussian perturbation is added during local pollination to enhance the ability to jump out of the local optimal solution.Finally,comparing the simulation results show that the flower pollinate algorithm based on double perturbation strategy to improve convergence speed is faster and have higher precision,which has important significance for improving control performance of permanent magnet synchronous motor.关键词
永磁同步电机/参数辨识/改进花授粉算法/t-分布扰动/高斯扰动Key words
permanent magnet synchronous motor/parameter identification/improved flower pollination algorithm/t-distribution perturbation/Gaussian perturbation分类
信息技术与安全科学引用本文复制引用
高森,王康,姜宏昌,胡继胜..基于改进花授粉算法的永磁同步电机参数辨识[J].电机与控制应用,2024,51(1):97-105,9.
