基于PSO的钻机快速自适应PID控制

针对传统液压盘刹钻机PID控制系统响应速度慢、稳态误差大、参数整定周期长,以及无法满足随钻遇地层变化实时参数优选的不足,以恒钻压自动送钻为研究对象,构建了液压盘刹钻机控制模型,设计了粒子群算法(PSO)优选钻机PID控制参数,并实现在Simulink环境下自动调用优选出的PID参数,提高了钻机控制参数的快速、自适应整定...

A Fast Self-adaptive PID Control Method for Drilling Rig Based on PSO

Aiming at the disadvantages of the PID control system of traditional hydraulic disc brake drilling rigs such as slow response speed, large steady-state error, long parameter setting period, and the inability to meet the real-time parameter optimization of formation changes while drilling, a hydraulic disc brake drilling rig control model is constructed by taking constant drilling pressure automatic drilling as the research object, and the particle swarm optimization(PSO) is designed to optimize the PID control parameters of the drilling rig, and the optimized PID parameters in the Simulink environment can be automatically called, which improves the fast and adaptive tuning of control parameters of drilling rig. Compared with the traditional Z-N empirical formula method, trial-and-error method and genetic algorithm(GA) for achieving PID control of drilling rigs, the simulation results show that the fast self-adaptive PID optimization control of drilling rig based on PSO can effectively improve the response speed of the system, reduce the steady-state error of the system, and meet the real-time and accuracy requirements of constant weight on bit in drilling process. The experimental results prove the feasibility and superiority of the new method in the paper.