Research on Adaptive Front-lighting Systems with the influence of multiple factors

Abstract

Aiming at the complexity of Adaptive Front-lighting Systems(AFS) modeling, a method of modeling AFS system by training neural network model is proposed. Through the analysis of prior knowledge and actual situation, Two typical working conditions are modeled in horizontal and vertical directions. RBF neural network is created on MATLAB to train and verify the network, and the fuzzy PID control strategy is added to AFS to optimize the performance of system. Simulation results show that the system model established by this method has a good precision, the fuzzy PID controller can greatly reduce the excessive deflection angle of headlamp, so the service life and the working accuracy of the headlamp can be improved.