Abstract
In order to improve the implement precision of shearer memory cutting, a novel approach based on the coal floor height variation which is taken as a significant factor and fuzzy optimization theory is proposed. The problem of shearer memory cutting is analyzed and the mathematic model is established. Moreover, the key technologies such as fuzzy control model, quantitative factors, and fuzzy control rules are elaborated, and the flowchart of shearer memory cutting method based on fuzzy optimization theory is designed. Finally, a simulation example is carried out and the proposed approach is proved feasible and efficient.
Highlights
As always, the coal-rock interface recognition is a challenging issue and decides whether the coal cutting can be carried out with high automation, low operation time, cost, and risk [1,2,3]
The coal cutting operation where shearer cuts the coal from the rock-seam back and forth is a repeated and dangerous work, so shearer memory cutting method can be applied in the mining process to raise the efficiency and decrease the intensity of labor
A novel approach based on fuzzy control theory is proposed to improve the implement precision of shearer memory cutting
Summary
In order to improve the implement precision of shearer memory cutting, a novel approach based on the coal floor height variation which is taken as a significant factor and fuzzy optimization theory is proposed. The problem of shearer memory cutting is analyzed and the mathematic model is established. The key technologies such as fuzzy control model, quantitative factors, and fuzzy control rules are elaborated, and the flowchart of shearer memory cutting method based on fuzzy optimization theory is designed. A simulation example is carried out and the proposed approach is proved feasible and efficient
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