Cruise control approach for virtually coupled trains based on improved self-triggered model predictive control

He Tong; Pengfei Sun; Jiahui Feng; Keqin Yan; Jiahui Zhang

doi:10.1117/12.3015266

4 March 2024 Cruise control approach for virtually coupled trains based on improved self-triggered model predictive control

He Tong, Pengfei Sun, Jiahui Feng, Keqin Yan, Jiahui Zhang

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129815B (2024) https://doi.org/10.1117/12.3015266
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Train in the virtually coupling train group operates at the same speed and a small interval, and is prone to be disturbed by adjacent trains and generate control fluctuations, which also brings greater pressure to communication. The self-triggering control can relieve the pressure of communication and calculation and reduce the control frequency, but the calculation cost at the trigger time will inevitably rise. Therefore, a cruise control method based on improved self-triggered model predictive control is proposed. The results show that this method can greatly reduce the calculation time while having good convergence.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

He Tong, Pengfei Sun, Jiahui Feng, Keqin Yan, and Jiahui Zhang "Cruise control approach for virtually coupled trains based on improved self-triggered model predictive control", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129815B (4 March 2024); https://doi.org/10.1117/12.3015266

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