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研究与探索

盾构掘进位姿控制试验平台研制及应用

  • 王旭阳 ,
  • 杨衢媛 ,
  • 金大龙 ,
  • 沈翔 ,
  • 袁大军
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  • (1. 极端环境岩土和隧道工程智能建养全国重点实验室(西南交通大学), 四川 成都 610031;2. 北京交通大学土木建筑工程学院, 北京 100044; 3. 深圳大学土木与交通工程学院, 广东 深圳 518060)
王旭阳(1993—),男,河南汝州人,2023年毕业于北京交通大学,土木工程专业,博士,助理研究员,现从事盾构机-土相互作用与自主掘进技术研究工作。 E-mail: wangxuyang45@〖KG-*5〗163.com。

网络出版日期: 2026-08-20

Development and Application of an Experimental Platform for Attitude Control in Shield Tunneling

  • WANG Xuyang ,
  • YANG Quyuan ,
  • JIN Dalong ,
  • SHEN Xiang ,
  • YUAN Dajun
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  • (1. State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; 2. School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China; 3. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China)

Online published: 2026-08-20

摘要

针对盾构掘进位姿控制试验中负载模拟与控制算法验证需求,研制一套集成负载模拟、高精度测量与控制算法验证功能的盾构掘进位姿控制试验平台,并开展基于模型预测控制(MPC)算法的位姿控制试验。平台采用机械、液压、电控、软件一体化设计,构建由六油缸非均布推进系统、正面负载模拟系统、盾周负载模拟系统及综合测控系统组成的试验体系; 其中,采用“液压油缸+弹簧阻尼器”组合方案协同模拟正面负载与盾周约束,控制层通过LabVIEW与MATLAB混编实现MPC控制器在线求解。主要结论如下: 1)研发的试验平台可满足位姿控制试验需求; 2)MPC控制器可基于当前实测状态对未来位姿响应进行多步预测,并通过“反馈校正-滚动优化”的方式实现前瞻性纠偏调节; 3)均匀负载条件下,盾体推进速度总体平稳,俯仰角和偏航角均围绕0°附近小幅波动,而在非均匀负载工况下MPC控制器能够根据位姿偏差趋势及时调整分区油缸推力,有效抑制了俯仰角和偏航角偏差,为复杂负载工况下盾构掘进位姿控制提供了试验验证和方法参考。

本文引用格式

王旭阳 , 杨衢媛 , 金大龙 , 沈翔 , 袁大军 . 盾构掘进位姿控制试验平台研制及应用[J]. 隧道建设, 2026 , 46(8) : 1659 -1675 . DOI: 10.3973/j.issn.2096-4498.2026.08.007

Abstract

Shield tunneling attitude-control tests require load simulation and control-algorithm validation. Accordingly, an experimental platform integrating load simulation, high-precision measurement, and control-algorithm verification is developed. Attitude-control experiments are conducted using a model predictive control (MPC) algorithm. The platform adopts a mechanical-hydraulic-electrical integrated design and consists of a nonuniform six-cylinder propulsion system, a frontal load simulation system, a shield-peripheral load simulation system, and a comprehensive measurement and control system. Frontal and peripheral loads are simulated collaboratively using a combination of hydraulic cylinders and spring-damper elements, while the control layer implements an online MPC solver through a LabVIEW-MATLAB co-simulation framework. The research results demonstrate the following: (1) The developed test platform meets the requirements for attitude-control experiments. (2) The MPC controller can perform multi-step prediction of future attitude responses based on the current measured state and achieve proactive correction via a feedback-based rolling optimization strategy. (3) Under uniform loading conditions, the shield propulsion speed remains generally stable, while the pitch and yaw angles fluctuate slightly around 0°. However, under nonuniform loading conditions, the MPC controller adjusts the thrust of individual cylinders according to attitude deviation trends, effectively suppressing pitch and yaw deviations. This work provides experimental validation and a methodological reference for attitude control in shield tunneling under complex loading conditions.
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