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为更好地研究霍尔推进器中的低频振荡现象,采用高速相机成像诊断系统进行霍尔推进器放电形貌图像数据采集,运用Matlab图形处理工具和相关函数,对不同真空压力下得到的推进器放电连续高分辨图像进行自动处理.实验结果表明,该方法能很好地分析霍尔推进器低频振荡的2个关键模式:呼吸模振荡和辐条振荡;随气压的增加,呼吸模振荡和辐条振荡的频率发生明显变化.与传统的霍尔推进器低频振荡诊断方法相比,该方法具有使用方便、设备安装简单等优点,为研究推进器低频振荡提供了一种新的观测和数据分析处理方法.
In order to better study the phenomenon of low frequency oscillation in the Hall thruster, a high-speed camera imaging diagnostic system was used to collect the data of the Hall thruster discharge topography. Using the Matlab graphics processing tools and related functions, The experimental results show that this method can well analyze the two key modes of low-frequency oscillation of Hall thruster: breathing mode oscillation and spoke oscillation; with the increase of air pressure, the oscillation of breathing mode and the spokes The frequency of oscillation changes obviously.Compared with the traditional low frequency oscillation method of Hall thruster, this method has the advantages of easy to use and simple equipment installation, and provides a new observation and data analysis processing for the research of low frequency oscillation of thruster method.