基于智能融合优化算法的锚杆钻机液压系统控制策略研究

根据传统Z-N法整定PID控制器参数的不足,提出基于智能融合优化算法的PID参数整定策略。仿真结果表明:用该算法整定PID参数有效、快速、准确,具有最优性。将该算法应用于锚杆钻机液压系统控制策略研究,仿真和实验表明:当变行程机构缓冲腔峰值油压变化时,智能优化算法跟据所需功率最大原则,寻找合适系统和工作油压,引起缓冲外套位移及冲击活塞行程变化,以此改变冲击能和冲击频率,实现了锚杆钻机根据工作对象的变化,自动调整工作参数,确保设备合理参数匹配下的最大功率工作。对于其他的控制对象和控制过程有一定的参考价值。

Research on Hydraulic Control System of Jumbolter Based on Intelligent Fusion Optimization Algorithm

To overcome the deficiency of classical Z-N method in optimization of PID parameters,an intelligent optimization algorithm for PID parameters was proposed.The stimulation and experiment results show that the PID parameters getting from this algorithm are efficient,accurate and speedy.The algorithm was used for hydraulic control system of jumbolter.The stimulation and experiment results show that when the peak oil pressure of the relief chamber is changed,optimum algorithm will find suitable pressure based on max power requirement to change displacement of relief surface,which lead to changing displacement of impact piston,at the same time,it will change the impact power and frequency of the impactor,so working parameters can be changed automatically based on the different situation under suitable parameters and max power working condition.The experiments show it has certain reference value for other control objects and control process.