摘要
针对掘进机能耗和载荷波动问题,基于遗传算法的多目标模糊可靠性优化策略,对截割头运动参数进行优化设计.优化结果表明,截割头升角减少11.6%,横摆阻力降低6.45%,纵向力降低12.16%,负荷转矩降低11.29%,比能耗降低21.04%,截割头的载荷波动和比能耗得到显著降低,有效提高了掘进机的工作可靠性和能量利用率.
In view of the roadheader machine energy consumption and the load fluctuation question, optimizaed the parameter movement for cutting head of roadheader based on genetic algorithm multi-objective fuzzy reliability optimization strategy. The optimized results indicate that the cutting angle reduces 11.6%, sway resistance reduces 6.45%, longitudinal forces reduces 12. 16%, load torque coefficient reduces 11.29%, the energy consumption reduces 21.04%. Load fluctuation and specific energy consumption of cutting head obtains obviously reduce, and mechanical working reliability and energy utilization quotiety of roadheader are enhanced.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2008年第12期1435-1437,共3页
Journal of China Coal Society
基金
教育部博士点专项基金资助项目(20060147001)
关键词
遗传算法
掘进机
截割头
多目标函数
模糊可靠性优化
比能耗
genetic algorithm
roadheader
cutting head
multi-objective
optimization fuzzy reliability
specificenergy consumption
