Dynamic Response Analysis Of The Vehicle Semi-active Suspension System With Magnetorheological Fluid Dampers

It only takes a century for the automobile industry turning into a standardizedsince Ford introduced the first car automatic-production line and the cost ofproduction has been reduced because of the maturity of production-line, which hasmade cars merged into normal peoples’ life. Consumers demand higher in aspects ofhandle ability, stability and ride comfort. Directly related to ride comfort ability isthe vehicle suspension system. Subject to its principle, damping effect of traditionalpassive suspension is limited. Compared with passive suspension, semi-activesuspension plays better performance in damping effect and has lower energyconsumption, which makes it a research focus in this area.This paper analysis how components of suspension work during and thecooperation relationship when the car is moving in order to study the vehicle ridecomfort of car. Body deformation is neglected and equivalent as a rigid body withconcentrated mass. Finally, a multi-rigid model of car mainly includes thesuspension system is build.The working mechanism of MR damper is analyzed. A polynomial model isbuild on the basis of consideration of the model accuracy and model complexity.Then input current control system is built based on the polynomial inverse model.Through the analysis of how the semi-active suspension works, a controlstrategy based on skyhook control combines fuzzy control and grey predictionsystem has been built while the MR damper has been select as the force components.Then the control system and MR damper model is built for each independentsuspension system.Based on multi-system co-simulation method, with the vehicle virtual prototype,MR damper model and control subsystem, a joint simulation between ADAMS andMATLAB is established to evaluate the vehicle ride comfort with a C-rank randominput and pulse input. The results show that the control method based on skyhookcontrol method combines fuzzy control and grey prediction system designed in thispaper can improve the vehicle’s ride comfort effectively.