• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (10): 450-463.doi: 10.3901/JME.2025.10.450

• 交叉与前沿 • 上一篇    

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面向消防自主作业的灭火射流运动学控制研究

潘禄1, 朱劲松2,3, 陈正升4, 刘中冠1, 赵桔贤1, 李伟1   

  1. 1. 中国矿业大学机电工程学院 徐州 221116;
    2. 中国安全生产科学研究院 北京 100012;
    3. 中国矿业大学深圳研究院 深圳 518057;
    4. 中国矿业大学信息与控制工程学院 徐州 221116
  • 收稿日期:2024-05-20 修回日期:2024-11-09 发布日期:2025-07-12
  • 作者简介:潘禄,男,1996年出生,博士研究生。主要研究方向为应急救援装备智能化、视觉伺服控制。E-mail:pl_cmee@cumt.edu.cn;李伟(通信作者),男,1981年出生,博士,教授,博士研究生导师。主要研究方向为应急救援装备智能化、网络化控制。E-mail:cmeetechnologylw@163.com
  • 基金资助:
    国家重点研发计划(2022YFC3090502)、国家自然科学基金(52204256)和江苏省重点研发计划(BE2023688)资助项目。

Research on the Kinematic Control of Fire Extinguishing Jet for Autonomous Firefighting

PAN Lu1, ZHU Jinsong2,3, CHEN Zhengsheng4, LIU Zhongguan1, ZHAO Juxian1, LI Wei1   

  1. 1. School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116;
    2. China Academy of Work Safety Sciences, Beijing 100012;
    3. Shenzhen Institute of China University of Mining and Technology, Shenzhen 518057;
    4. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116
  • Received:2024-05-20 Revised:2024-11-09 Published:2025-07-12

摘要: 面向消防灭火自主作业,提出一种基于运动学模型的灭火射流控制方法。将射流连续体离散成关节变量,推导射流运动学模型,针对建模过程中多因素强耦合造成的非线性关系难以显式表征问题,建立基于自回归积分滑动平均模型(Autoregre ssive integratal moving average model,ARIMA)和长短时记忆网络(Long short-term memory,LSTM)的灭火射流轨迹预测模型。考虑实际作业过程中的障碍物干扰问题,重构烟花算法的初始种群分布和下一代种群确定方法,实现有障碍物约束条件下的射流驱动关节运动学逆解。建立考虑死区特性和喷射反力的关节动力学模型,设计基于径向基网络观测器的角度跟踪滑模控制器,实现对期望角度的跟踪控制,并在实际灭火机器人上开展验证试验。结果表明,灭火射流轨迹模型预测精度均优于LSTM、ARIMA及显式模型,关节角度跟踪控制算法的控制精度高于现有PD、模糊控制以及线性自抗扰控制器,在自主灭火作业测试中,所提方法的火点打击精度优于现有方法。

关键词: 消防自主作业, 灭火射流运动学模型, 灭火射流轨迹模型, 灭火射流控制, 时序网络预测

Abstract: A kinematic model-based fire extinguishing jet control method is proposed for autonomous firefightin. The jet continuum is discretized into joint variables, and a jet kinematic model is derived. To address the problem of nonlinear relationships caused by strong coupling of multiple factors in the modeling process of fire extinguishing jet, a trajectory prediction model based on ARIMA and LSTM is established. Considering the problem of obstacle interference in the actual process, the initial population distribution and next generation population determination method of the fireworks algorithm are reconstructed, and the inverse kinematics solution of the jet driven joint under obstacle constraints is achieved. A joint dynamics model considering dead zone characteristics and injection reaction force is established, and an angle tracking sliding mode controller based on radial basis network observer is designed to achieve robust tracking control of the desired angle. Verification experiments are conducted on actual fire extinguishing robots. The results show that the prediction accuracy of the fire jet trajectory model is superior to LSTM, ARIMA, and explicit models. The control accuracy of the joint angle tracking control algorithm is higher than that of existing PD, fuzzy control, and linear self disturbance rejection controllers. In the testing of autonomous fire extinguishing operations, the proposed method has better fire point strike accuracy than existing methods.

Key words: autonomous firefighting operations, kinematic model of fire extinguishing jet, trajectory model of fire extinguishing jet, control of fire extinguishing jet, ARIMA-LSTM

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