Study On Intelligent Control Of Rolling Cars' Speed For Space Adjustment

The core of automated hump is to control the speed of a rolling car. The existing models of interval adjustment are based on the study of rolling process. In these models, the efined speed?is unchangeable, that is, it can be changed according to the space between two neighboring rolling cars. These models are tending to lead bad control results because the rolling process is a time-varying, nonlinear and multi-factor affected process.This paper establishes a speed control model, which is based on theories of fuzzy control and neural network. Space between two neighboring rolling cars is introduced into this model. In this model, efined speed? the output can be changed with the change of the rolling condition. Simulation shows that this model can lead to good control result after it has been trained.