【摘要】 为实现对采煤机截割煤岩过程中粉尘质量浓度的最优控制,开发一种基于多参数耦合匹配优化的采煤机智能降尘控制方法。以最低粉尘质量浓度为目标,以牵引速度、滚筒转速以及截割深度为变量,建立采煤机最优降尘控制的多参数耦合优化匹配模型;采用迭代优化方法,结合优化终止判定条件,得到最低产尘量时的采煤机多工作参数优化结果。采用综采面3机配套模型进行截割控制与测试试验。结果表明,在采煤机多参数迭代优化过程中,粉尘质量浓度快速下降收敛,优化前后粉尘质量浓度分别为632和158 mg/m3,降尘效率达到75%。更多还原

【Abstract】 In order to realize the optimal dust control for shearer in the process of cutting coal and rock, a new dust intelligent control method for shearer based on multi parameter coupling matching and optimization was worked out. The minimum dust concentration was used as the optimization objective and traction speed, roller speed and cutting depth as the variables to be optimized. A multi parameter coupled optimization matching model was built for optimal control of dust for shearer. Optimization results of multi working parameters of shearer were obtained by iterative optimization method combined with termination decision condition of optimization at the least amount of dust. Cutting control and test experiment were done by using a three machines matching model. It was found that the dust concentration decreased and convergented rapidly in the process of multi parameter iterative optimization of shearer, and dust concentrations were 632 and 158 mg/m3 respectively before and after optimization, and that the dust removal efficiency reached 75%.更多还原