改进蜂群算法的永磁同步电机自抗扰调速策略  

ADRC Speed Regulation Strategy of Permanent Magnet Synchronous Motor Based on Improved Bee Colony Algorithms

作　　者：周燕霞[1] 闫晓勇[2] ZHOU Yan-xia;YAN Xiao yong(College of Mathematical Engineering,Zhejiang Dongfang Polytechnic,Wenzhou 325000,China;College of Mathematical,Zhejiang Dongfang Polytechnic,Wenzhou 325000,China)

机构地区：[1]浙江东方职业技术学院数字工程学院,浙江温州325000 [2]浙江东方职业技术学院管理学院,浙江温州325000

出　　处：《数学的实践与认识》2020年第7期180-189,共10页Mathematics in Practice and Theory

基　　金：国家自然科学基金青年基金项目(61503002)。

摘　　要：在分析永磁同步电机数学模型的基础上,针对永磁同步电机非线性、强耦合的特点以及存在快速性和超调难以调和的问题,提出一种基于改进蜂群优化算法的非线性自抗扰控制策略.首先针对传统蜂群优化算法全局寻优能力差和迭代缓慢的缺点,通过引入正余双弦局部优化算子和自适应惯性权重策略,有效提高了算法的全局搜索能力和收敛速度.其次将改进后的算法用于自抗扰控制器参数整定,选择出适用于永磁同步电机的自抗扰控制参数,提高了自抗扰控制器的控制精度.最后将优化后的自抗扰控制器用于控制永磁同步电机调速系统,并将仿真结果与其他三类控制器相对比,结果表明本文所提控制策略有效提高了控制精度,快速无超调且具有更好的抗扰动能力.Based on the analysis of the mathematical model of permanent magnet synchronous motor(PMSM),aiming at the characteristics of non-linearity and strong coupling of PMSM and the problems of fast speed and overshoot,a non-linear ADRC control strategy based on improved bee colony optimization algorithm is proposed.Firstly,aiming at the shortcomings of traditional bee colony optimization algorithm,such as poor global search ability and slow iteration,the global search ability and convergence speed of the algorithm are effectively improved by introducing sine-cosine local optimization operator and adaptive inertia weight strategy.Secondly,the improved algorithm is used to tune the parameters of ADRC,and the ADRC parameters suitable for permanent magnet synchronous motor are selected to improve the control accuracy of ADRC.Finally,the optimized ADRC is used to control the speed control system of PMSM,and the simulation results are compared with other three kinds of controllers.The results show that the control strategy proposed in this paper effectively improves the control accuracy,fast and no overshoot,and has better anti-disturbance ability.

关 键 词：永磁同步电机 蜂群优化算法 自抗扰控制器 正余双弦 自适应惯性权重 参数整定 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM341[自动化与计算机技术—控制科学与工程]