• 中国出版政府奖提名奖

    中国百强科技报刊

    湖北出版政府奖

    中国高校百佳科技期刊

    中国最美期刊

    留言板

    尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

    姓名
    邮箱
    手机号码
    标题
    留言内容
    验证码

    陆承达, 段炜涛, 吴加俊, 张幼振, 吴敏, 2026. 基于扩张状态观测器的滑动定向钻进轨迹跟踪模型预测控制. 地球科学. doi: 10.3799/dqkx.2026.117
    引用本文: 陆承达, 段炜涛, 吴加俊, 张幼振, 吴敏, 2026. 基于扩张状态观测器的滑动定向钻进轨迹跟踪模型预测控制. 地球科学. doi: 10.3799/dqkx.2026.117
    Lu Chengda, Duan Weitao, Wu Jiajun, Zhang Youzhen, Wu Min, 2026. Extended-State-Observer-Based Trajectory-Tracking Model Predictive Control for Sliding Directional Drilling. Earth Science. doi: 10.3799/dqkx.2026.117
    Citation: Lu Chengda, Duan Weitao, Wu Jiajun, Zhang Youzhen, Wu Min, 2026. Extended-State-Observer-Based Trajectory-Tracking Model Predictive Control for Sliding Directional Drilling. Earth Science. doi: 10.3799/dqkx.2026.117

    基于扩张状态观测器的滑动定向钻进轨迹跟踪模型预测控制

    doi: 10.3799/dqkx.2026.117
    基金项目: 

    国家自然科学基金项目(62373332,62273317);高等学校学科创新引智计划111项目(B17040);中国地质大学(武汉)中央高校基本科研业务费专项资金项目.

    详细信息
      作者简介:

      陆承达(1991-),男,博士,教授,从事智能系统技术、鲁棒控制、时滞系统控制等方面的研究。ORCID:0000-0002-9452-4053.E-mail:luchengda@cug.edu.cn

      通讯作者:

      吴敏( 1963-),博士,教授,从事过程控制、鲁棒控制和智能系统等方面的研究。ORCID:0000-0002-0668-8315.E-mail:wumin@cug.edu.cn

    • 中图分类号: TD712.6

    Extended-State-Observer-Based Trajectory-Tracking Model Predictive Control for Sliding Directional Drilling

    • 摘要: 滑动定向钻进作为定向钻进中常用的钻进技术,已广泛应用于工作面超前探查、地质灾害异常体识别与瓦斯抽采等任务,以提升地质识别精度与钻进作业效率。本文针对滑动定向钻进过程中复杂地层扰动导致轨迹跟踪精度下降的问题,提出一种基于扩张状态观测器的轨迹跟踪模型预测控制方法。首先,分析钻具运动学特性,建立滑动定向钻进轨迹延伸模型,在此基础上构建钻进轨迹预测模型和以最小轨迹偏差作为控制目标的目标函数,并设计模型预测控制器。然后,为补偿地层扰动带来的稳态误差,设计具备扰动观测能力的扩张状态观测器,实现最优控制输入的求解,从而实现轨迹跟踪控制。最后,通过仿真实验证明了所提方法具有扰动反馈补偿、轨迹控制精度高及鲁棒性强等特点,在提升勘探效率以及降低作业风险等方面具有良好的应用价值。

       

    • Gurina, E., Klyuchnikov, N., Antipova, K., 2022. Forecasting the Abnormal Events at Well Drilling with Machine Learning. Applied Intelligence, 52: 9980-9995. https://doi.org/10.1007/s10489-021-03013-x
      Inyang, I. J., Whidborne, J. F., 2019. Bilinear Modelling, Control and Stability of Directional Drilling. Control Engineering Practice, 82: 161-172. https://doi.org/10.1016/j.conengprac.2018.10.008
      Mahdianfar, H., Hovakimyan, N., Pavlov, A., 2016. L1 Adaptive Output Regulator Design with Application to Managed Pressure Drilling. Journal of Process Control, 42: 1-13. https://doi.org/10.1016/j.jprocont.2016.02.004
      Zhang, C., Zou, W., Cheng, N. B., et al., 2018. Trajectory Tracking Control for Rotary Steerable Systems Using Interval Type-2 Fuzzy Logic and Reinforcement Learning. Journal of the Franklin Institute, 355(2): 803-826. https://doi.org/10.1016/j.jfranklin.2017.12.001
      Wan, M., Song, J., Wang, G., 2024. Observer-Based Adaptive Fuzzy Control of Stabilized Platform in Rotary Steerable System with Input Saturation and Output Constraint. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 238(10): 1785-1799. https://doi.org/10.1177/09596518241256144
      Wang, G., Huang, W. J., Gao, D., 2023. Real-Time Control Algorithm of Well Trajectory for Push-the-Bit Rotary Steering Drilling System. SPE Journal, 28(5): 2148-2164. https://doi.org/10.2118/214703-PA
      Bonzanini, A. D., Mesbah, A., Di Cairano, S., 2024. Perception-Aware Model Predictive Control for Constrained Control in Unknown Environments. Automatica, 160: 111418. https://doi.org/10.1016/j.automatica.2023.111418
      Hong, L., Liu, H. T., Yang, Q. S., et al., 2024. Model Predictive Attitude Control of Unmanned Surface Vehicle Based on Short-Time Wave Prediction. Ocean Engineering, 314: 119727. https://doi.org/10.1016/j.oceaneng.2024.119727
      Basheer, A. A., Jeong, J. H., 2025. Coordinated Optimization of Wind Turbine Energy Capture Efficiency Using Model Predictive Control. International Journal of Electrical Power & Energy Systems, 172: 111361. https://doi.org/10.1016/j.ijepes.2025.111361
      Zhao, W. Q., Wei, H. Q., Ai, Q., et al., 2024. Real-Time Model Predictive Control of Path-Following for Autonomous Vehicles Towards Model Mismatch and Uncertainty. Control Engineering Practice, 153: 106126. https://doi.org/10.1016/j.conengprac.2024.106126
      Panchal, N., Bayliss, M. T., Whidborne, J. F., 2010. Robust Linear Feedback Control of Attitude for Directional Drilling Tools (13th IFAC Symposium on Automation in Mining, Mineral and Metal Processing). IFAC Proceedings Volumes, 43(9): 92-97. https://doi.org/10.3182/20100802-3-ZA-2014.00022
      Li, L., Wang, D. P., Chen, Z. C., et al., 2025. Trajectory-Tracking Control of Autonomous Vehicles with Dynamic Nonlinear Coupling Characteristics and Parameter Uncertainty. International Journal of Automotive Technology, 1-15. https://doi.org/10.1007/s12239-025-00340-7
      中文参考文献
      房培洪, 2024. 井下定向钻进技术在矿井地质勘探中的应用. 西部探矿工程, 36(11): 191-192+195.
      秦永和, 2024. 滑动导向与旋转导向钻井技术进展及发展对策. 石油钻探技术, 52(6): 1-9.
      闫燕强, 2025. 煤矿井下深孔定向钻进瓦斯抽采技术及应用. 西部探矿工程, 37(5): 133-134+138.
      鞠玮, 肖宇航, 田永净, 等, 2025. 深部煤层气储层地质力学研究与进展. 地球科学. https://link.cnki.net/urlid/42.1874.P.20251230.1510.016.
      李浩, 姚宁平, 陆承达, 等, 2025. 煤矿井下定向钻孔轨迹模型预测控制方法. 煤田地质与勘探, 53(2): 205-212.
      郭旭升, 2022. 我国陆上未来油气勘探领域探讨与攻关方向. 地球科学, 47(10): 3511-3523.
      杨金山, 卢伟涛, 孙青林, 等, 2025. 基于扩张状态观测器的翼伞系统滑模控制. 航天返回与遥感, 46(6): 14-24.
    • 加载中
    计量
    • 文章访问数:  26
    • HTML全文浏览量:  0
    • PDF下载量:  1
    • 被引次数: 0
    出版历程
    • 收稿日期:  2026-02-02
    • 网络出版日期:  2026-05-13

    目录

      /

      返回文章
      返回