基于Pareto最优原理的钻机钻进参数多目标优化

发布时间：2018-03-21 22:37

  本文选题：钻机　切入点：钻进参数　出处：《中国机械工程》2017年13期 　论文类型：期刊论文

【摘要】：针对某双管定向钻机,提出了基于Pareto最优原理的钻进参数多目标优化方法。该方法根据钻机性能与工况,考虑水力对钻头比能影响,确定了钻进参数优化模型。针对罚函数处理约束条件的不足,引入了改进约束条件处理策略,提出了基于小生境思想拥挤度值计算方法及自适应交叉和变异算子。测试了改进算法的性能,并将改进算法用于求解基于某煤矿工程实际建立的钻机钻进参数优化模型。研究结果表明:与NSGA-Ⅱ和MOPSO算法相比,改进算法在求解测试问题时具有更好的收敛性与分布性。利用改进算法求解实际问题时得到的Pareto前端解集分布均匀,而且有效提高了机械钻速,延长了钻头寿命并降低了钻头比能。
[Abstract]:A multi-objective optimization method of drilling parameters based on Pareto optimal principle is proposed for a double-pipe directional drilling rig. According to the performance and working conditions of drilling rig, the influence of hydraulic power on the specific energy of drill bit is considered. The optimization model of drilling parameters is determined. In view of the deficiency of penalty function in dealing with constraint conditions, an improved constraint treatment strategy is introduced. Based on the niche idea, a method for calculating crowding degree and an adaptive crossover and mutation operator are proposed, and the performance of the improved algorithm is tested. The improved algorithm is used to solve the drilling parameters optimization model based on a coal mine project. The results show that, compared with NSGA- 鈪，

本文编号：1645904