Multi-objective and multi-stage trajectory tracking controller for high-speed train based on weight optimization

Jiahui Feng; Pengfei Sun; Tong He; Chuanxin Zhang; Zipei Zhang

doi:10.1117/12.3015152

4 March 2024 Multi-objective and multi-stage trajectory tracking controller for high-speed train based on weight optimization

Jiahui Feng, Pengfei Sun, Tong He, Chuanxin Zhang, Zipei Zhang

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298105 (2024) https://doi.org/10.1117/12.3015152
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

The trajectory tracking is the core function to realize automatic operation of high-speed train. This paper designed a model predictive controller under consideration of multiple optimal objectives to achieve comprehensive control performance of accurate tracking, passenger comfort and energy conservation. By linearizing the cost function and constraints, the control optimization model is transformed into a mixed-integer quadratic programming model, which is solved by the Gurobi solver. There are several stages in the whole process of train operation with different priorities of multiple objectives. To adapt the different priorities of multiple objectives, this paper proposed a multi-objective and multi-stage (MOMS) MPC controller based on multi-objective particle swarm optimization algorithm and a selection strategy of optimal weight coefficient. The simulation results show that the controller designed in this paper can optimize the weight in different scenarios to improve comprehensive control performance.

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

Citation Download Citation

Jiahui Feng, Pengfei Sun, Tong He, Chuanxin Zhang, and Zipei Zhang "Multi-objective and multi-stage trajectory tracking controller for high-speed train based on weight optimization", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298105 (4 March 2024); https://doi.org/10.1117/12.3015152

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