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Research on Simulation Experimental Platform of Automobile Adaptive Front-Light System

Author: LiXiangBing
Tutor: XiaoHeLin；LiuJianGuo
School: Wuhan University of Technology
Course: Power Machinery and Engineering
Keywords: AFS Lights Simulation Model Fuzzy Control Genetic Algorithms matlab
CLC: TP391.9
Type: Master's thesis
Year: 2010
Downloads: 138
Quote: 3
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Abstract


Automotive lighting at night has an important role to traffic safety. In recent years, the world automobile companies and research institutions to study the lights put a lot of manpower and financial resources. Auto adaptive headlights system (Adaptive Front-light System, AFS) As can be adjusted according to various driving environment headlight illumination angle, brightness and chroma, which is increasingly widespread attention. Based on this, the subject of a high-tech enterprise combining development projects, learn new progress in research work, through the establishment of kinematic simulation platform lights the way to achieve the simulation and verification car headlights role in the operation of the external environment The purpose of the law, so as to enterprises in this regard to provide a theoretical basis for research and development and implementation of orientation and save a lot of R \u0026 D costs. In this thesis, according to the automobile AFS system should meet the basic requirements of the CATIA software environment to establish a simulation platform model and processed into experimental platform, but also established a can achieve with data acquisition and control functions of the data acquisition system based on Labview software environment established procedures for data acquisition interface design, data acquisition with real-time display, storage and playback a series of functions. In this thesis, the platform for automotive active suspension simplified 4-DOF model. By controlling the vertical acceleration change simulation platform to control the amount of damping platform change this fuzzy control strategy, to achieve the control body pitch angle, steering angle output headlight vertical aim. Meanwhile, using MATLAB software environment to build this control strategy based on the simulation platform of the simulation model. Through simulation in MATLAB environment to achieve the integral white noise model under the control of four degrees of freedom model simulation. Finally, programming and debugging, using genetic algorithm toolbox for fuzzy controller to optimize the design of fuzzy control rules, so that the average vertical acceleration simulation platform to reduce simulation platform pitch angle and the steering angle of the vertical headlights can be controlled to a ideal range. Simulation results show that the chosen model is reasonable, using the membership function of fuzzy control in line with requirements. In the simulation experiment on the platform compared with the real car, although some other factors also temporarily not taken into account, but in some parameters such as body vertical acceleration effect of the reduction is quite obvious that some of the conclusions of the platform will be in the future lay the foundation for further research.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
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