基于遗传算法掘进机截割头多目标模糊可靠性优化

Multi-objective optimization fuzzy reliability design for cutting head of roadheader based on genetic algorithm

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.