张宁,刘祺,邵俊杰,等. 基于模糊粒子群算法的钻杆运移装置控制系统研究[J]. 煤田地质与勘探,2023,51(3):177−185. DOI: 10.12363/issn.1001-1986.22.05.0432
引用本文: 张宁,刘祺,邵俊杰,等. 基于模糊粒子群算法的钻杆运移装置控制系统研究[J]. 煤田地质与勘探,2023,51(3):177−185. DOI: 10.12363/issn.1001-1986.22.05.0432
ZHANG Ning,LIU Qi,SHAO Junjie,et al. Research on control system of drill pipe conveying device based on fuzzy particle swarm optimization[J]. Coal Geology & Exploration,2023,51(3):177−185. DOI: 10.12363/issn.1001-1986.22.05.0432
Citation: ZHANG Ning,LIU Qi,SHAO Junjie,et al. Research on control system of drill pipe conveying device based on fuzzy particle swarm optimization[J]. Coal Geology & Exploration,2023,51(3):177−185. DOI: 10.12363/issn.1001-1986.22.05.0432

基于模糊粒子群算法的钻杆运移装置控制系统研究

Research on control system of drill pipe conveying device based on fuzzy particle swarm optimization

  • 摘要: 在大直径救援井施工起下钻作业中,钻杆运移装置用于大直径钻具输送及钻柱接续。针对钻杆运移装置定位过程中钻杆易产生振动,难以快速、准确地将钻杆举升至动力头翘起角度进行对扣的问题。首先分析了钻杆运移装置的结构特点和工作原理,利用结构关系推导了钻杆举升时的运动学模型,得出钻杆末端接头与举升油缸和运移小车运动规律的映射关系,并采用有限元方法建立了钻杆举升时的动载受力模型,得出了钻杆末端接头的振动加速度主要由举升油缸和运移小车的工作速度所决定,且各部件的工作速度主要由各自的输入流量所确定;其次引入了基于模糊粒子群优化算法的综合误差评价函数,将钻杆末端接头的转角误差和位姿误差作为输入信号,采用加权法进行计算出综合误差和加速度误差,利用梯形隶属度函数构造了模糊控制规则,得出综合误差、加速度误差与比例参数、积分参数、微分参数之间关系,完成PID的控制参数调节,实现了对钻杆末端接头的主动抑振控制;最后利用MATLAB软件搭建了数值仿真模型,以某次钻杆运移装置工作时测量数据信号为例进行仿真研究,系统综合误差只需0.9 s可将振幅衰减至峰值的10%以下,同时加速度误差仅为0.05 mm/s2,并通过现场应用试验进行了验证。试验结果表明:该钻杆运移装置的控制方法可以实现钻杆举升过程的主动抑振,定位过程中钻杆末端接头能够在短时间内进入稳态,采用模糊控制器时平均加卸单根钻杆时间约192.8 s,节约时间约60 s,整体加卸钻杆效率提高24%。研究结果为提高钻杆运移装置的整体施工作业安全性和施工效率提供了理论基础。

     

    Abstract: In the tripping operation of large-diameter rescue well construction, the drill pipe conveying device used for large-diameter drilling tool transportation and drill string connection. In view of the problem that it is difficult to quickly and accurately lift the drill pipe to the angle of power head for make-up due to its easy vibration in the process of positioning, the structural characteristics and working principle of the drill pipe conveying device were analyzed at first. The kinematic model for the lifting of drill pipe was deduced with the structural relationship, obtaining the mapping relationship in the motion law of the drill pipe end joint, lifting cylinder and transport trolley. Meanwhile, the dynamic load model for the lifting of drill pipe was established using the finite element method. Thus, it was found that the vibration acceleration of the drill pipe end joint was mainly determined by the working speed of the lifting cylinder and the transport trolley, while the working speed of each component was mainly determined by the respective input flow. Besides, the comprehensive error evaluation function based on particle swarm optimization algorithm was introduced. Then, the comprehensive error and acceleration error were calculated using the weighted method with the rotation angle error and position error of the drill pipe end joint as the input signals. At the same time, the fuzzy control rules were established using the trapezoidal membership function, and thus the relationship of the comprehensive error and acceleration error with the proportional parameter, integral parameter and differential parameter was obtained, to complete the adjustment of PID control parameters, thereby realizing the active vibration suppression control of the drill pipe end joint. Finally, the numerical simulation model was built with MATLAB software. Specifically, simulation research was performed based on the measured data signal of a drill pipe conveying device during its operation. It is shown that the comprehensive error of system could attenuate the amplitude to less than 10% of the peak value within 0.9 s only at the acceleration error of 0.05 mm/s2, which is verified by the field application test. According to the test results, the control method of the drill pipe conveying device could realize the active vibration suppression of drill pipe during the transportation, so that the drill pipe end joint could be stabilized in a short time during the positioning process. The average time for the loading/unloading of a single drill pipe is about 192.8 s if the fuzzy controller is used, saving about 60 s, and the overall efficiency of drill pipe loading/unloading is improved by 24%. In general, the research results could provide a theoretical basis for improving the overall construction safety and efficiency of the drill pipe conveying device.

     

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