摘要
取样头和岩石接触问题与月壤取样的成功与否直接相关,基于小型卷簧式月壤取样器的柔性取样臂结构,提出了振动取样法:在取样过程中采集振动信号进行数字信号处理与分析,达到对取样头-岩石接触的辨识。首先对振动信号进行采集、消除趋势项,然后利用小波多分辨分析去噪,采用现代功率谱中基于AR模型的Burg法对振动信号进行特征提取,最后采用二分类支持向量机对取样头是否接触到岩石进行识别。实验结果证明,卷簧式取样器的振动信号分析能够对取样头-岩石接触问题进行较好的辨识。
It will lead to failure of planet soil sampling if the sampling head is in contact with a big-size rock, So identifying this situation is significant in the process of planet sampling. In this paper, a vibration sampling method is proposed to solve this problem. The vibration signals are acquired and analyzed in the process of sampling experiments, in order to achieve the sampling head-rock contact (SHRC) identification by taking advantage of the special structure of the mini coiling-type sampler, which takes a flexible coiling spring as its sampling arm. First of all, the vibration waves are generated by a vibration motor and the vibration signals are acquired by an acceleration sensor. Then, the multi-resolution wavelet is used to filter the vibration signals. The power spectrum estimation method Burg is introduced to extract the SHRC- related features of vibration signals. At last, the status of whether the sampling head touching the rock is identified by the C- SVM (Clustering Support Vector Machine). Experimental results show that the SHRC identification problem can be solved successfully by the analysis of the vibration signals.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2012年第10期1536-1543,共8页
Journal of Astronautics