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

Ma, Xiaojun and Qin, Yuhua and Kong, Dequan and Liu, Desheng and Wang, Chaoyang (2021) Adaptive and ADRC information fusion method for high speed train braking system. EAI Endorsed Transactions on Scalable Information Systems, 9 (22). e9. ISSN 2032-9407

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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.

Item Type: Article
Uncontrolled Keywords: high-speed train braking, information fusion, linear active disturbance rejection control, adaptive control
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 30 Mar 2022 12:55
Last Modified: 30 Mar 2022 12:55
URI: https://eprints.eudl.eu/id/eprint/10255

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