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

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

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.

Key words: active suspension, state space, fuzzy control, particle swarm optimization, sky-hook damping

CLC Number:

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.

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