Research On The Fuzzy-evolutionary Programming Control Algorithm Based On Magnetorheological Semi-active Suspension Of Certain Light Vehicle

As the comfort and handling requirements of the vehicle continue to increase,domestic and foreign automobile academia focus on the improvement of automobilesuspension, then the study of semi-active suspension that has an excellentperformance and low cost, magnetorheological damper that has a accurate control anda low power consumption became the hotspot; Because fuzzy control is suitable fornonlinear system,which does not depend on the accurate mathematical model, at thesame time, evolutionary programming algorithm as the representative of theevolutionary algorithm have unique advantages in solving optimization problems.Therefore, using Fuzzy Evolutionary Programming Algorithm for magnetorheologicalsemi-active suspension control research has the very realistic significance.This article’s goal is to improve the vehicle’s ride comfort, handling stability anddriving safety, carry on a research on the magnetorheological semi-active suspensioncontrol for certain light vehicle using fuzzy evolutionary programming algorithm.Based on the mathematical model of MR semi-active suspension that been derivedand built, this article use Matlab/Simulink to build the simulation model of the system.Then designed the body vertical, pitch and roll fuzzy controllers, and usedevolutionary programming algorithm to optimize the fuzzy controller for thecontrollers’ defect to improve the performance of the controllers under differentdriving conditions. Then carried on the software simulation analysis to verify theeffectiveness of fuzzy-evolutionary programming algorithm. Finally, built thehardware in the loop test platform to verify the reliability and adaptivity offuzzy-evolutionary programming algorithm. The main work of the dissertation is:1. Derived the function of road input profile, established the road model; fittedthe experimental data of the MR damper, established MR damper polynomial model;derived seven degrees of freedom vehicle dynamics equations, derived mathematical model of semi-active suspension.2. According to the fuzzy control design process, designed the vertical, pitch, rollbody fuzzy controllers. According to the basic principle of evolutionary programming,used the EP algorithm to optimize body vertical, pitch, roll fuzzy controllers’ scalingfactors and scaling factors through the MATLAB programming. Derived the formulaof damping force distribution, distributed the vertical body control force and the pitch,roll torque in the form of damping force to the four shock absorber.3. Established the MR semi-active suspension simulated model, including roadsimulated model, magnetorheological damper simulated model and vehicle simulatedmodel. Carry on the simulation analysis of passive suspension and fuzzy control MRsemi-active suspension in two driving conditions to test the effectiveness of the fuzzycontrol algorithm. Then carried on the simulation analysis of passive suspension,fuzzy control MR semi-active suspension and Fuzzy-EP MR semi-active suspensionas the same two driving conditions, verified the effect of EP for optimization of fuzzycontrollers and the control effect of Fuzzy-EP MR active suspension.4. Built the hardware in the loop test rig based on the dSPACE real-timesimulation system, mainly including signal processing circuit, controller and currentdriver, introduced the hardware and software parts of the hardware in the loop test rig;carry on the hardware in the loop test still in two driving conditions based on the builthardware in the loop test rig, verified the effect of the designed fuzzy-EP controlsystem and the accuracy of the software simulation.