中文摘要：

针对井下无人、自动作业的新型采煤战略目标,提高对煤岩的辨识是至关重要的。在对采煤机截割电机控制的基础上,基于稀疏矩阵变换器理论,提出对于截割电机输入电流信号渐变的分析。通过HHT-PCAMRVM对煤岩进行识别,从而实时对井下采煤机姿态进行调节来满足复杂的开采需求。该方法在某煤矿的开采实验平台上进行了良好的实验验证。实验表明：截割电机在USMC控制下,在煤岩突变时波动较为明显,能够很好地为MRVM煤岩识别提供分类界限。煤岩识别率为95%,对于综采自动化有较好的作用。

英文摘要：

Aiming at the new coal mining strategic objective of unmanned underground and automatic operation, it is crucial to improve the identification of coal and rock. On the basis of cutting motor control of shearer, this paper presents the analysis of the gradual change of the cutting motor input current signal based on the control of shearer cutting motor based on the theory of sparse matrix converter. Through the HHT-PCA-MRVM to identify the coal and rock, in order to real-time down-hole shearer to adjust the attitude to meet the complex mining needs. The method is tested on a coal mining experiment platform. Experimental results show： USMC cutting motor under control, fluctuations in coal and rock when the mutation is more obvious, can well provide for the classification boundaries MRVM coal and rock identification, identification of coal was 95 % for mechanized mir/ing automation has a good effect. The experiment results show that the cutting motor is more obvious under the control of USMC, and it can provide a good classification boundary for MRVM coal-rock identification. The identification rate of coal and rock is 95% , which is good for fully mechanized mining automation.