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Research On The Control Strategy Of Adaptive Front Lighting System

Posted on:2015-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:C AiFull Text:PDF
GTID:2382330452465633Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of economy, the automobile has become a maintraffic tools for people in modern society. It provides us convenience and comfort.What's more,it brings the safe hidden trouble for us. With the popularization of cars, aseries of traffic accident has taken place. Traffic accident has become one of theimportant factors to threat human's life. A large amount of proportion traffic accident isaccounted for the poor lighting and bend lighting blind area. Adaptive front lightingsystem can be based on real-time traffic information automatically adjust the irradiationAngle of headlamps and lighting range. From a certain extent, effectively reduce thetraffic accident that resulted because of the bad lighting.This paper mainly introduces the development of Adaptive front lighting systemin China and abroad, the basic composition, working principle, the function andcharacteristics. Adaptive front lighting system is studied in the horizontal and verticaldirection in the Angle of law. Through the safety braking distance, curve fitting, themethods of Akkerman geometry principle, established the light angle of mathematicalrelationship between the speed and wheel rotation. According to the mathematicalrelation, It establishes the simulation model of Adaptive front lighting system. Thendesigns the fuzzy controller, establishes fuzzy control Adaptive front lighting systemsimulation model based on fuzzy adaptive controller. The vehicle's swiveling angle ofAdaptive front lighting system main changes along with the change of vehicle speed andsteering wheel angle. And the manipulator of the steering wheel is the driver, so the paperintroduced the pilot model to further study of AFS system control strategy.And based onthe optimal curvature driver model to make fuzzy-PID control driver model. Finally,under the selected conditions, through the CarSim with Matlab/simulink to makesimulation between fuzzy-PID control driver model and fuzzy control Adaptive frontlighting system simulation model. At last, to verify the fuzzy-PID driver model cansatisfy the car direction control and fuzzy control of automobile AFS control to achievethe desired effect of the model.
Keywords/Search Tags:Safe braking distance, Driver model, Vehicle AFS, fuzzy control
PDF Full Text Request
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