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Control Method And Simulation Analysis Of Anti-lock Braking System

Posted on:2015-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:H LinFull Text:PDF
GTID:2272330431488709Subject:Vehicle engineering
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With the continuous development of the automotive industry, high-speed car safetyproblem is getting attention. Antilock Braking System (ABS) as an active safety devicein the car, when braking wheels timely adjust the braking force to prevent the wheelsfrom locking drag slip, ensure the vehicle handling and stability, and effectively reducesthe braking distance, to get the best results from braking. In China’s auto market, itsapplication has also become increasingly popular. And the control method is the coretechnology of ABS, analysis study of the car’s braking to improved performance andanti-lock braking systems, has important practical significance.Frist, this thesis introduces the basic principles of ABS, the basic composition,layout and research and development status at home and abroad. Basic on workprinciple and control theory, analysis of the mathematical theoretical model, usingMATLAB/Simulink graphical modeling artificial methods to establish the appropriatesystem simulation models, including brake system model, a typical tire model andcontroller model of single wheel vehicle systems.Then, analysis of Mathematical theoretical models and different control methods,the design of various control strategies controller includes Bang-Bang controller, PIDcontroller, fuzzy controller, PID and fuzzy controller hybrid, adaptive fuzzy PIDcontroller, to establish respectively corresponding control model. In different typicalconcrete pavement include drying pavement, wet pavement, wet pavement and ice dirtroad, study system and analysis and simulation results. The braking effect and stabilityof comparison, get the best braking control methods and strategies, namely adaptivefuzzy PID control. In typical road shift, adaptive fuzzy PID control for further researchto identify the effect of the road, through the stability and braking effectiveness analysiscomparing with the result.Finally, a comparative analysis of simulation results overall, discuss the effect ofbraking performance and control strategies to identify the road. Indicating thecomplexity of the adaptive fuzzy PID control, resolve uncertainty, nonlinear andtime-varying characteristics of the construction of multivariate mold system problems,give full play to the PID control is simple, vague flexibility, adaptability, speed controlaccuracy advantages. Adaptive fuzzy PID control method practical, brake control isbetter, and has better robustness and stronger adaptive control strategy.
Keywords/Search Tags:ABS, control method, road recognition, braking performance
PDF Full Text Request
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