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<p>To address the issue of low mast vertical adjustment accuracy of central rotary drilling rig, an automatic mast vertical adjustment system based on radial basis function (RBF) neural network and PID controller was proposed. Firstly, the system’s operational principle was analyzed, and the mathematical model of the vertical adjustment mechanism was established successfully to support the precise control. Then, an RBF-PID controller was designed to adaptively adjust control parameters, supported by a load sensing hydraulic simulation model for co-simulation. Simulation results showed that the model could well reflect the operating characteristics of the load sensing system, and the RBF-PID controller could shorten the adjustment time to 0.6 seconds without overshoot and could exhibit good disturbance rejection performance. Finally, tests were conducted on the central rotary drilling rig, and the results showed that the root mean square error (RMSE) of RBF-PID was 11.5792, and the mean absolute error (MAE) was 10.4122, which was lower than the conventional PID and FUZZY-PID. It has been proven that the RBF-PID controller has advantages in improving the control accuracy and response speed of the mast, and has significant practical value in the application of the central rotary drilling rig.</p>

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Research on the automatic mast vertical adjustment system for central rotary drilling rig based on RBF-PID

  • 期刊论文

  • 发表日期：

    2025年10月11日

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  • Jiahui Li,
  • Ying Wang,
  • Rongyue Zheng,
  • Jun Ye,
  • HuiRong Wang,
  • Haijiao Shen

摘要

To address the issue of low mast vertical adjustment accuracy of central rotary drilling rig, an automatic mast vertical adjustment system based on radial basis function (RBF) neural network and PID controller was proposed. Firstly, the system’s operational principle was analyzed, and the mathematical model of the vertical adjustment mechanism was established successfully to support the precise control. Then, an RBF-PID controller was designed to adaptively adjust control parameters, supported by a load sensing hydraulic simulation model for co-simulation. Simulation results showed that the model could well reflect the operating characteristics of the load sensing system, and the RBF-PID controller could shorten the adjustment time to 0.6 seconds without overshoot and could exhibit good disturbance rejection performance. Finally, tests were conducted on the central rotary drilling rig, and the results showed that the root mean square error (RMSE) of RBF-PID was 11.5792, and the mean absolute error (MAE) was 10.4122, which was lower than the conventional PID and FUZZY-PID. It has been proven that the RBF-PID controller has advantages in improving the control accuracy and response speed of the mast, and has significant practical value in the application of the central rotary drilling rig.