Parameters identification of servo system with resonance based on particle swarm optimization

被引：0

作者：

Xiong, Yan ^{[1
]}

Li, Yesong ^{[1
]}

机构：

[1] School of Automation, Huazhong University of Science and Technology, Wuhan

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2014年 / 42卷 / 12期

关键词：

Parameter identification; Particle swarm optimization; Resonance; Servo system; Two mass system;

D O I：

10.13245/j.hust.141222

中图分类号：

学科分类号：

摘要：

In order to obtain the mechanical resonace characteristics of the mechanical driving part in the servo system, the particle swarm optimization (PSO) algorithm for parameters identification based on analysis of the two-mass system model was proposed. In this method, the friction torque of the load side was estimated with the motion equation in the two-mass. Then, the motor speed and torque current were obtained from the system which was excited by a special signal. Finally, the equivalent motor inertia, equivalent load inertia, resonance frequency and damping ratio were identified based on the particle swarm optimization (PSO) algorithm. The results of experiments show the identified parameters can describe the characteristics of the system accurately, from which the controller design can benefit. ©, 2014, Huazhong University of Science and Technology. All right reserved.

引用

页码：111 / 115

页数：4

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