Research on Fault Detection Method for AC Servo System using FFT algorithm

被引：0

作者：

Zhan, Jianfeng ^{[1
]}

Zhou, Yuanjun ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Nanjing, Jiangsu, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS) | 2017年

关键词：

AC servo system; Brush-less DC motor; Fast Fourier transform; Fault diagnosis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper explores the on-line fault detection method for AC servo system, that is, when the motor has not stopped due to the fault, the fault information is detected by using the information measured from the control system. In view of the AC servo system composed of brushless DC motor, the spectrum of DC bus current is analyzed, and the characteristics of different faults are extracted to realize the on-line fault detection of the system. The normalization method of DC bus current in FFT transform, the extraction of spectrum feature of different faults and the method of fault detection are studied. Finally, the feasibility of the method is verified by simulation results.

引用

页码：303 / 308

页数：6