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A Kart’s Ride Comfort Analysis And Optimization Based On Genetic Algorithm

Posted on:2014-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:Z X YuFull Text:PDF
GTID:2252330425960487Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Ride comfort is one of the important properties of a high-speed, comfortablevehicle in modern world, which is gradually gaining people’s attention. Representedby ADAMS, virtual prototyping technology has been widely applied to the car insteadof the traditional method of performance of all its aspects. As our nation continues toenrich people’s spiritual life, kart has started to become a part of people’s newentertaining life, but kart’s performance research work is relatively lagging behind.This paper makes use of ADAMS, a dynamic simulation software, to research theinfluence suspension system exerts over ride comfort and optimize the systemparameters.Based on considerable job on researching literature data and thorough analysison current situation and development of domestic and foreign vehicle ride controllingtechnology, this paper adopts a method combining virtual prototype modeling withsimulation analysis and genetic algorithm to analyze and optimize ride comfort, themain innovations and research jobs in this paper are as follows:(1) Using established kart vehicle dynamics model, this paper estimates thenatural frequency of car body and suspension system, and simulates its ride comfort,the results show that the kart’s ride comfort is inferior and can be improved.(2) Taking front and rear suspension spring stiffness and shock absorber dampingas optimization variables, and centroid vertical RMS value of weighted accelerationof car body as objective function, the author lays the foundation of follow-up work inwhich the article researches the influence suspension stiffness, damper and tire radialstiffness exert over ride comfort.(3) Using genetic algorithms to optimize ride comfort, obtains the matchingoptimized suspension stiffness damping, simulates ride comfort on the optimalvehicle model, the results show that optimal centroid vertical RMS value of weightedacceleration of car body has reduced, thereby the ride comfort has improved to someextent.
Keywords/Search Tags:Genetic algorithm, Ride comfort, Simulation, Virtual prototype
PDF Full Text Request
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