Study On Mathematical Model And Adaptive Neuro-fuzzy Control Of Semi-active Suspension

As a compromise between passive and active suspension, the semi-active suspension iseconomical and has brief configuration as the former, and has excellent performance indamping vibration as the latter, so Research on its control has become an advanced subject inthe field of theory and engineering of automobile.After establishing the mathematical model of semi-active suspension, constructing anevaluation function of ride comfort, designing adaptive neuro-fuzzy control system andcarrying out simulation, we finally improve the ride comfort characteristics. The main contentof this paper is as follows:1. Establish the simulation models of road input and semi-active suspension.First,analyze theStatistics of road random vibration signal, then establish its simulation model; Second,establish the mathematical models of suspensions with different degree-of-freedom, andcompare their dynamic equations, then deduce the equations with which the requirements ofsimplification could be met and finally prove their correctness by simulation; Third, establisha quarter vehicle modal of semi-active suspension according to the simplification equations.2. Construct evaluation function of ride comfort. First, analyze the relationship of themain three performance indexes of ride comfort: Second, briefly introduce the traditionalevaluation function which uses the acceleration as its only index; Third, construct a newevaluation function which integrate the main three indexes.3. Design adaptive neuro-fuzzy control system. First, create a computer program forgenerating training data of neural network without Practical manipulation experience ofsuspension; second, design control systems according to different evaluation functions, thenvalidate their efficiency by simulations; Third, compare the results of the former twosimulations, and summarize their advantages and disadvantages.In conclusion, adaptive neuro-fuzzy control of applied in semi-active suspension systemand conduces to effectiveness of improving the performance of ride comfort. The controlsystem which is proposed in this paper has no need of Practica l manipulation experience ofsuspension, adaptive to different evaluation functions and efficient for vibration damping, so it canprovide a convenient and effective way for the researchon suspension’s control.