A Vehicle Adaptive Cruise Control Strategy in Noise Environment
In order to meet the driving needs of vehicles in the actual following car environment,an adaptive cruise control strate-gy for noise environment was designed.According to the kinematics model of two vehicles following,for information acquisition process,the noise problem of on-board sensor signal had a great influence on the accuracy,a Kalman filter for following mode is designed to de-noise the sensor signals.Through the design of the fuzzy control algorithm,the calculation of the expected acceler-ation of the vehicle is realized,and the results are handed over to the underlying control algorithm to achieve the precise control of the vehicle speed and vehicle distance.A co-simulation model was built under the environment of PreScan and Matlab/Simulink,and the effect of strategy control was compared and analyzed.The results show that in the noise environment,this control strategy has strong adaptability to different levels of noise interference signals,and can achieve accurate and rapid control of vehicle speed and vehicle distance,and meet the safety and comfort in the following environment.
万方数据
维普
