COMPARATIVE STUDY OF SUSPENSION OPTIMIZATION CRITERION FUNCTIONS

This paper presents a new optimization criterion for the suspension's behavior of vehicles under a profile of random rough road. A Monte-Carlo method is proposed for searching minimum criterion function. The proposed criterion function is defined by the ratio between the change of random output signal and the change of random road profile. The results obtained through simulation for the proposed criterion were compared with the results obtained for the criterion used by many researchers. This criterion depends only on the suspension's random acceleration without taking into account the characteristics of the road. Simulations have demonstrated a high efficiency of the new proposed criterion in assessing the comfort of optimized suspension.