Research on Active Suspension Control of High-speed Train Based on Fuzzy Compound Strategy

Authors

Jianjun Meng, 1. Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China;;2. Gansu Provincial Engineering Technology Center for Informatization of Logistics & Transport Equipment, Lanzhou 730070, China;;3. Gansu Provincial Industry Technology Center of Logistics&Transport Equipment, Lanzhou 730070, China;
Zhongjun Wang, 1. Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China;;
Ruxun Xu, 1. Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China;;2. Gansu Provincial Engineering Technology Center for Informatization of Logistics & Transport Equipment, Lanzhou 730070, China;;3. Gansu Provincial Industry Technology Center of Logistics&Transport Equipment, Lanzhou 730070, China;
Decang Li, 1. Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China;;2. Gansu Provincial Engineering Technology Center for Informatization of Logistics & Transport Equipment, Lanzhou 730070, China;;3. Gansu Provincial Industry Technology Center of Logistics&Transport Equipment, Lanzhou 730070, China;

Abstract

Abstract: In order to improve the running stability of high-speed train, a semi-vertical six-degree-of- freedom state space model is established based on the active suspension system. Based on fuzzy control theory, the fuzzy controllers and fuzzy PID controllers are designed. Aiming at the defects of strong subjectivity of fuzzy PID control which needs manual adjustment, particle swarm optimization is used to optimize the initial parameters of the controller to make the suspension system be more correspond with the objective reality. In order to verify the advance of this strategy, with the sky-hook damping strategy for comparison, the controller model is combined with the suspension system model for simulation analysis. The results show that the PSO-based fuzzy PID control has the best improvement effect, which indicates that the compound fuzzy control is more effective than the single fuzzy control in improving the running smoothness.

Recommended Citation

Meng, Jianjun; Wang, Zhongjun; Xu, Ruxun; and Li, Decang (2021) "Research on Active Suspension Control of High-speed Train Based on Fuzzy Compound Strategy," Journal of System Simulation: Vol. 33: Iss. 7, Article 6.
DOI: 10.16182/j.issn1004731x.joss.20-0191
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss7/6

First Page

1554

Revised Date

2020-07-12

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0191

Last Page

1564

CLC

U270.33;TP273+.4;TP391.9

Recommended Citation

Meng Jianjun, Wang Zhongjun, Xu Ruxun, Li Decang. Research on Active Suspension Control of High-speed Train Based on Fuzzy Compound Strategy[J]. Journal of System Simulation, 2021, 33(7): 1554-1564.

DOI

10.16182/j.issn1004731x.joss.20-0191