• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (10): 450-463.doi: 10.3901/JME.2025.10.450

Previous Articles    

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

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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