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The Research On Self-Adaptive Neural Network Control In NJ2045 Traction Control System

Posted on:2006-09-14Degree:MasterType:Thesis
Country:ChinaCandidate:X LiuFull Text:PDF
GTID:2132360155453239Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Traction Control System (TCS), which gets the optimum longitudinal tractionby regulating the driving wheels slip ratio, is a new active safety control systemthat was developed in the middle of 80's. It is to regulate the driving wheels slipratio around the demanded slip ratio range so that the road adhesion coefficient ismaximized and lateral stability is achieved.The dissertation pays more attention to control algorithm and simulation oftraction control system. Based on the abroad achievements in this field, thefollowing issues are discussed: Developing of dynamics simulation software; thedesign of the artificial neural network adaptive controller; simulation ofsoftware-in-loop and hardware-in-loop. There are six chapters in the dissertation.In Chapter One, the function and the construction of traction control systemare introduced; the history of the traction control system and its present status arediscussed; the contents of the dissertation are put forward.In Chapter Two, put forward the scheme of acceleration dynamic simulationsoftware. Mathematical models including engine model, brake model, drivelinemodel, tire models, vehicle model, assistant model and driver's attention modelare established to simulate the process of accelerating. Established an off-linesimulation platform based on Matlab/Simulink.
Keywords/Search Tags:TCS, ANN, Self-Adaptive, Simulation, Hardware-in-the-Loop
PDF Full Text Request
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