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The Elaboration Of Control Method About Automobile Driving Suspension Fork

Posted on:2009-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:Z X ChenFull Text:PDF
GTID:2132360245955151Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Since the automobile invention, how engineers on have been studying design automobile's suspension system well. in 1908 the helical spring started to use in the passenger vehicle, at that time once had two entirely different opinions. The first opinion position installment rigidity big helical spring, causes the wheel is maintaining with the road surface contact tendency, enhances the tire to stress ability. When such malpractice is rides the automobile has intensely jolts the feeling. Another opinion thought that should use the soft helical spring, adapts the rugged road surface, enhances rides time automobile's stability and comfortableness. But such manuverability of automobile is bad. smoothness generally through chassis or automobile body some spot (for example vehicle ledger wall, pilot's seat place) the acceleration response appraises, the operation stability may measure through wheel's moving load. The ideal suspension fork should have the different spring constant and the shock absorber damping under the different exploitation conditions, both can satisfy the smooth request and to be able to satisfy the operation stability request.This article introduced the suspension fork pattern, as well as centralism common driving suspension fork control method. the article key has given a more exhaustive explanation to the driving suspension fork's each control method, mainly has the ceiling to control, optimum control, predictive control, fuzzy control, adaptive control, neural network control as well as compound control and so on.because the sole control method has own limitation after all, this article first used the PID control to take the basic control policy; The fuzzy control has to the system parameters change insensitive, may not depend upon merits and so on precise mathematical model, used the fuzzy control to take the second kind of control policy; The fuzzy PID control is controls parallel the fuzzy control and PID completes together to the system the control, this control mode may eliminate these two kind of controller respective malpractice, compares with the sole fuzzy control or the PID control, has the stabler reliable control effect.Using the vehicles kinetic theory, has established the driving suspension system's dynamics model, simultaneously establishes the integral white noise form road surface input mathematics and the simulation model. Different has designed the driving suspension fork PID controller, based on the fuzzy control theory fuzzy controller and the fuzzy PID controller separately based on the control principle, and constructed through software Matlab6.5/Simulink has realized these control policy driving suspension fork control simulation model. Moves it then to realize under the different input the driving suspension system's control simulation, through carries on the analysis to the simulation result, discovered that uses the PID control the driving suspension fork performance to surpass traditional obviously the passive suspension fork; But uses the fuzzy control the driving suspension fork whole control effect not to compare the effect which purely the pure PID control obtains; The fuzzy PID control surpasses other three kind of control policy by far in the automobile body acceleration this most important performance index, moreover robustness is also friends with in other three kind of control policy. Therefore uses based on fuzzy control theory fuzzy PID controls this kind of new control policy to carry on the control to the driving suspension fork to compare other control method to be more reasonable feasible. It and the PID control compare, this control mode reduces dynamics to the automobile body acceleration peak-to-peak value to be bigger, and causes the acceleration change to be relatively gentle, the control performance is more superior.
Keywords/Search Tags:Suspension fork, driving suspension fork, control theory, PID fuzzy control
PDF Full Text Request
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