基于混沌控制的周期窄带干扰抑制方法研究  

Study of Suppressing the Periodic Narrow Bandwidth Noise in Partial Discharge Detection Based on Chaotic Control

作　　者：周力行[1] 李卫国[1] 邓本再[2] 

机构地区：[1]武汉大学电气学院,武汉430072 [2]长沙理工大学电气与信息工程学院,长沙410077

出　　处：《高电压技术》2004年第10期39-41,共3页High Voltage Engineering

基　　金：教育部高等学校骨干教师资助项目 (2 0 0 0 65 2 9)

摘　　要：将混沌控制理论用于局部放电在线检测的混沌算法用谱分析获取窄带干扰的周期 ,设置适当的周期参数扰动来控制Duffing Homes混沌振子系统 ,实现对检测信号中窄带干扰的精确估计和抑制。实验表明 ,特定的混沌系统可准确快速地识别并抑制窄带周期信号 。Identification and suppression of periodic interference is very important for realization of partial discharge (PD) on-line measurement. Because of the wide frequency range of narrow bandwidth, the usual algorithm such as IIR and adaptive filter will be difficult in setting the parameters and even be disable in practice. In this paper, theory of controlling chaos is introduced in the PD on-line detection and a special chaotic system is put forward to suppress the periodic narrow bandwidth interference. Setting the appropriate periodic parameter disturbance to control the Duffing-Homes chaotic system. Simulating experiments show that the chaotic system can effectively restrain the periodic narrow bandwidth interference without any influence on PD pulse.

关 键 词：窄带干扰抑制 精确估计 周期信号 混沌控制 混沌振子 特定 混沌系统 制方 方法研究 实验 

分 类 号：TM853[电气工程—高电压与绝缘技术]