Scheme and Test of Adaptive Cutting Trajectory Prediction of Shearer
In the view of the problems of unclean one-time cutting and interference collision with the upper and lower boundaries of the coal seam in the shearer cutting control system,an adaptive cutting trajectory prediction scheme of shearer based on deep learning was proposed.On the basis of analyzing the cutting process and trajectory prediction principle of shearer,a data prediction scheme with temporal and spatial characteristics and a prediction model for adaptive cutting trajectory were designed,and the experimental verification was completed.The results showed that the adaptive cutting trajectory prediction scheme of shearer can predict the change law of shearer cutting trajectory,and the root mean square error of the upper cutting drum trajectory prediction was 0.022 m,and the root mean square error of the lower cutting drum trajectory was 0.013 m,which can meet the requirements of the shearer cutting control system.
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