摘要
In order to realize the memory cutting of a shearer, made use of the memorizedcutting path and acquisitioned cutting parameters, and realized the teaching and playbackof the cutting path.In order to optimize the memory cutting path of a shearer, took intoaccount the constraints of coal mining craft, coal quality and the adaption faculty of coalmining equipments.Genetic algorithm theory was used to optimize the memory cutting ofshearer and simulate with Matlab, and realized the most valuable mining recovery rate.The experimental results show that the optimization of the memory cutting path of ashearer based on the genetic algorithm is feasible and obtains the most valuable memorycutting path, improving the ability of shearer automatic cutting.
In order to realize the memory cutting of a shearer, made use of the memorized cutting path and acquisitioned cutting parameters, and realized the teaching and playback of the cutting path. In order to optimize the memory cutting path of a shearer, took into account the constraints of coal mining craft, coal quality and the adaption faculty of coal mining equipments. Genetic algorithm theory was used to optimize the memory cutting of shearer and simulate with Matlab, and realized the most valuable mining recovery rate. The experimental results show that the optimization of the memory cutting path of a shearer based on the genetic algorithm is feasible and obtains the most valuable memory cutting path, improving the ability of shearer automatic cutting.
基金
Supported by the High-Tech Research and Development Program of China(2008AA062202)
Fok Ying Tung Education Foundation(114003)
New Teacher Foundation for the Doctoral Program of Ministry of Education(20070290538)
