sis 18: e17

Research Article

Adaptive and ADRC information fusion method for high speed train braking system

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  • @ARTICLE{10.4108/eai.6-10-2021.171248,
        author={Xiaojun Ma and Yuhua Qin and Dequan Kong and Desheng Liu and Chaoyang Wang},
        title={Adaptive and ADRC information fusion method for high speed train braking system},
        journal={EAI Endorsed Transactions on Scalable Information Systems: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={SIS},
        year={2021},
        month={10},
        keywords={high-speed train braking, information fusion, linear active disturbance rejection control, adaptive control},
        doi={10.4108/eai.6-10-2021.171248}
    }
    
  • Xiaojun Ma
    Yuhua Qin
    Dequan Kong
    Desheng Liu
    Chaoyang Wang
    Year: 2021
    Adaptive and ADRC information fusion method for high speed train braking system
    SIS
    EAI
    DOI: 10.4108/eai.6-10-2021.171248
Xiaojun Ma1, Yuhua Qin2, Dequan Kong3, Desheng Liu3,*, Chaoyang Wang3
  • 1: School of Mechanical Engineering, Jiamusi University, Jiamusi, 154007, China
  • 2: Northwest Electric Power Test and Research Institute Co., Ltd. of China energy construction group, Xi'an 710054, China
  • 3: School of Information and Electronic Technology, Jiamusi University, Jiamusi, 154007, China
*Contact email: zdhlds@163.com

Abstract

Aiming at the problem of poor adaptability and lag of traditional braking control methods of high-speed train, a high-speed train braking information fusion method based on adaptive linear auto disturbance rejection is proposed to arrange the transition process for accurate braking and stable operation of the train, and an extended state observer is designed to estimate and compensate the internal disturbance and external disturbance, so as to enhance the anti-interference ability of the system, By introducing adaptive control into linear ADRC, the real-time adaptive self-tuning of parameters is realized, the efficiency of parameter tuning is improved, and the problem that too many parameters have a direct impact on the control effect in ADRC is solved. The simulation results show that the control method can estimate and compensate the disturbance well, shows good robustness, and can track the ideal parking curve quickly and accurately.