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

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.