Abstract: Aiming at the problem of time delay feedback control of automobile suspension system, an optimization strategy of timedelayed feedback control parameters was proposed. Firstly, the mechanical and mathematical models of the 1/4 car suspension system under timedelayed acceleration feedback control were established. The relationship between the body and wheel acceleration amplitude and the road surface excitation frequency was obtained by theoretical derivation. Then the stability of the system was analyzed according to the eigenvalue method, and the system stability partition map on the twoparameter plane with the feedback gain coefficient and time delay was obtained. The correctness of the stability analysis results was verified by numerical simulation. Finally, with the minimum body acceleration amplitude as the optimization objective, the particle swarm optimization algorithm was used to obtain the optimal values of feedback gain coefficient and time delay under different road excitation frequencies. The results indicate that the vibration isolation effect of the vehicle suspension system with the optimal timedelayed feedback control is significantly improved compared with the passive vehicle suspension system. Within the frequency range of 1 Hz~20 Hz, the acceleration amplitude of the body can be reduced by at least 19.60%.
Key words: automobile suspension system; vibration isolation; timedelayed feedback control; parameter optimization; particle swarm optimization