Adaptive Neural Network And Fuzzy Control And Its Application On Vehicle Distance

Since an increasing number of traffic accidents has become a serious social problem, to reduce the loss and injury of traffic accidents should be resolved。In a moving vehicle, the back driver should make corresponding changes of driving behaviors in order to prevent the possible collision while there is a front vehicle is slowing down or there are some obstacles。Safe-distance control of the vehicle is mainly used in the alarming and defense of collision。At present, there are some progress have been made in the field of theory research and practical application of SDA, in these method, generalized forecast control, PID control, classical fuzzy control were adopted。But there are some limits in them, for the parameters of the system are preset, While the exterior environment has changed, the control effect isn't satisfied。In recent years, the research of Fuzzy Logic Control (FLC) and Artificial Neural Networks (ANN) and the application of them to automatic control are progressing rapidly。Instead of constructing the accurate mathematics, fuzzy logic control uses linguistic variables to describe the under-control system; The neural network has many advantages such as nonlinear map, self-learning, parallel processing。They have superiority in the uncertain model and non-linear system and time variant system control, due mostly to their being independent of precise mathematical model。On the other hand, they can benefit from each other in system modeling。In the paper, a tentative study was conducted on longitudinal vehicle-to-vehicle distance control based on Adaptive-Network-Based Fuzzy Inference System(ANFIS), a hybrid-learning algorithm。The design for the controller based on ANFIS was proposed and the controller parameters were optimized via system simulation o We construct the safe-distance driving model by using the Adaptive Neural-Fuzzy Inference System (ANFIS) to control the following car's acceleration across the speed and distance gap changing on the leading and the following car, and optimize the system on-line by hybrid method。 Using Matlab to simulate the method。The result shows that the car can keeping safe-distance and prevent collision, which also proved the correctness of the method proposed in this paper。...