高速列车制动系统的自适应与自抗扰信息融合方法

IF 1.1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS EAI Endorsed Transactions on Scalable Information Systems Pub Date : 2022-01-01 DOI:10.4108/eai.6-10-2021.171248
Xiaojun Ma, Yuhua Qin, Dequan Kong, Desheng Liu, Chaoyang Wang
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引用次数: 0

摘要

针对传统高速列车制动控制方法适应性差、滞后的问题,提出了一种基于自适应线性自抗扰的高速列车制动信息融合方法,为列车精确制动和稳定运行安排过渡过程,设计了扩展状态观测器对内外扰动进行估计和补偿。通过在线性自抗扰控制器中引入自适应控制,实现了参数的实时自适应整定,提高了参数整定的效率,解决了自抗扰控制器中参数过多直接影响控制效果的问题。仿真结果表明,该控制方法能较好地估计和补偿干扰,具有较好的鲁棒性,能快速准确地跟踪理想停车曲线。
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Adaptive and ADRC information fusion method for high speed train braking system
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.
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来源期刊
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.80
自引率
15.40%
发文量
49
审稿时长
10 weeks
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