Research on semi-active suspension control based on front-end preview

As vehicles gradually move towards intelligent development, using road perception information to improve suspension control has become a future development direction. This paper takes the efficient and stable preview control of semi-active suspension as the goal, proposes a variable domain fuzzy control algorithm for vehicle front preview, and verifies it on a real vehicle. A Gaussian function is designed based on the perceived road elevation and vehicle speed information to approximately simulate the road impact signal. Combined with variable domain fuzzy PID control, the preview information is effectively utilized. The simulation results show that on roads with speed bumps, the preview control algorithm can improve vehicle comfort (the maximum value is reduced by 41.35%), and at the same time maintain stability on smooth transition roads with speed bumps. Finally, the Great Wall Latte-PHEV hybrid vehicle was used as a prototype to carry out prototype vehicle modification and control strategy verification.