采煤机智能控制技术研究

Research of Intelligent Control Technology of Shearer

以采煤机智能截割路径为研究对象,基于D-S证据理论,通过多神经网络,利用煤层分布边界预测法建立新的截割路径预测数学模型。利用MATLAB软件,基于差值算法,对截割路径进行了优化。通过搭载试验台,对新路径控制方法进行了验证,为采煤机的智能控制优化提供了参考。

Taking the cutting path of intelligent coal mining as the research object,based on D-S evidence theory,a new cutting path prediction mathematical model is established by using coal seam distribution boundary prediction method through multi-neural network.MATLAB software is used to optimize the cutting path based on the difference algorithm.The new path control method is verified by carrying a test bed,which provides reference for intelligent control optimization of shearer.