关键词: 路面激励；模糊控制；PID；乘坐舒适性

Abstract: Drivers and passengers have higher and higher requirements for the ride comfort of vehicles, and suspension is an important component affecting the ride comfort, so the ride comfort of vehicles can be improved by improving the performance of suspension. This paper first performs Fourier transform on the international standard pavement frequency-domain model and combines the filtering of white noise to generate the pavement frequency-domain model, and the road excitation time domain-model of the four wheels of vehicle is established according to the spatial correlation of the left and right wheels and the hysteresis of the front and rear wheels in the time-domain. Then, a vehicle seven-degree-of-freedom dynamic model for ride comfort analysis is established based on Simulink, and the variation amplitude of the body acceleration is determined by time-domain simulation, and then the universe of discourse of the fuzzy controller is determined. Finally, according to the input of the fuzzy controller and the determination of fuzzy control rules, combined with proportional-integral-derivative (PID) control to build the controller. By comparing the body acceleration time-domain curves of active suspension and passive suspension, it is found that the fuzzy PID control has a better control effect in improving the ride comfort of the vehicle, which has an important reference value for in-depth study of suspension performance optimization.

Key words: road excitation; fuzzy control; PID; ride comfort