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Research On Multi - Path Tracking Control Strategy

Posted on:2015-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:W LvFull Text:PDF
GTID:2208330431968857Subject:Communication and Information System
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Intelligent vehicle is the important direction of vehicle technology, the researchcontent involves the automatic control, electronic technology, mechanical engineering,computer technology and many other disciplines. Path identiifcation is an impotrantresearch content. Path recognition system directly affects the performance of theintelligent vehicle to path types of anticipation and the implementation of the controlstrategy, but also for intelligent vehicle speeds and tracking deviation plays animportant role. In the mode of path identification, there are mainly infrared sensortracking mode,laser sensors and a camera tracking,etc.At present the research of intelligent vehicle control system mainly on theselection of different control algoirthms, but for a variety of different paths ofsubsection control strategy research are rare, because the intelligent vehicle in thetracking process will encounter many different path condition, so it is necessary toresearch respectively. In the path,on the basis of accurate identiifcation, reasonablestrategy is used to control the intelligent vehicle dirving direction and speed,maximum ascending tracking effect, so as to realize for the further research ofintelligent vehicle. The development of intelligent vehicle control technology willhave a profound impact on people’s production and life.This article is mainly on the path of speed control algorithm is studied. Its buildsa STC89C52as control core of the intelligent vehicle system, including powermanagement module, path identification module, motor driver module and speeddetection module. The paper designed a intelligent vehicle’s control system based onthe incremental PID control algorithm. To establish the mathematical model of the dcmotor,based on MATLAB simulation numeration of using different control effect ofPID parameters, according to the comparison of data control system of theoptimization parameter setting results, improve the tracking accuracy and stability. Bythe way, this paper designed汪intelligent vehicle’s control system based on fuzzycontrol algorithm. Through expeirmental test of the control system,according to thecompairson between the data, proved using fuzzy PID control algoirthm can realizethe optimization of control system tracking effect.
Keywords/Search Tags:Intelligent vehicle, Incremental PID, Fuzzy PID, MATLAB simulation
PDF Full Text Request
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