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作 者:曹鹏[1,2,3] Cao Peng(China Coal Research Institute,Beijing 100013 China;Shenyang Research Institute,China Coal Technology and Engineering Group,Fushun 113122,China;State Key Laboratory of Coal Mine Safety Technology,Fushun 113122,China)
机构地区:[1]煤炭科学研究总院,北京100013 [2]中煤科工集团沈阳研究院有限公司,辽宁抚顺113122 [3]煤矿安全技术国家重点实验室,辽宁抚顺113122
出 处:《煤矿机械》2023年第10期194-196,共3页Coal Mine Machinery
基 金:中煤科工集团沈阳研究院有限公司创新引导项目(SYYD-21SY-002)。
摘 要:传统大螺旋钻机自主钻进参数优化方法为爬山法,爬山法在使用过程中对钻进参数优化很难达到全局最优解。介绍了一种基于模拟退火算法计算大螺旋钻机最优钻进参数的方法。通过对大螺旋钻机自主钻进控制系统进行工作原理分析,确定大螺旋钻机钻进参数优化的依据为钻杆推进速度和旋转速度。然后分析模拟退火算法的工作流程以及软件编写流程,最后进行现场实验。结果表明,采用模拟退火算法优化钻进参数,大螺旋钻机钻进速度提高约30%且钻进过程更加平稳、高效,提升了大螺旋钻机自主钻进控制系统的智能化水平。The traditional self drilling parameter optimization method of large screw drilling rig is mountain climbing method,which is difficult to achieve the global optimal solution.Introduced a method to calculate the optimal drilling parameters of large screw drilling rig based on simulated annealing algorithm.Through the analysis of the working principle of the autonomous drilling control system of large screw drilling rig,it is determined that the basis for the optimization of drilling parameters of large screw drilling rig was drill pipe propulsion speed and rotation speed.Then the work flow of simulated annealing algorithm and software programming flow were analyzed.Finally,the field experiment was carried out.The results show that by using simulated annealing algorithm to optimize drilling parameters,the drilling speed of large screw drilling rig is increased by about 30%,and the drilling process is more stable and efficient,which improves the intelligent level of autonomous drilling control system of large screw drilling rig.
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