智能融合优化算法的PID参数整定及其在旋转冲击型锚杆钻机液压控制系统的应用研究

Intelligent Integration Optimization Algorithm of PID Parameters Setting and Application for Hydraulic Control System of Rotary Impact Jumbolter

在经典Z-N法整定PID控制器参数基础上,提出智能融合优化算法PID参数整定策略。仿真结果表明:该算法整定PID参数有效、快速、准确,具有最优性。将该算法应用于旋转冲击型锚杆钻机液压控制系统,结果表明:在不同工况下,锚杆钻机根据其变行程机构缓冲腔峰值油压的变化情况,应用智能融合优化算法,自动调整设备工作参数,确保钻机在合理参数匹配工况下以最大功率工作。验证了该控制策略设计的合理性和可行性,达到提高工作效率、降低能耗的目的。

Found the deficiency of classical Z-N method in optimization of PID parameters, proposed the intelligent optimization algorithm of PID parameters. The stimulation and experiment showed that the PID parameters getting from this algorithm are efficient, accurate and speedy. Used algorithm for hydraulic control system of jumbolter. The stimulation and experiment showed that when peak oil pressure of relief chamber is changed, optimum algorithm will find suitable and 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 impactor, and realize impactor auto change working parameters based on the different situation under suitable parameters and Maxpower working condition. Results showed that control strategy were reasonable and feasible. The purposes of improving work efficiency and reducing energy consumption were achieved.