Research On Motor Train Running Theory Of Transport Network

This issue analyzed the advantages and disadvantages of rail and road transport, and proposed a new motor train concept. The kind of motor train is the object for study. With the development of society and economy, large amount of cargo that needs long-distance transport is getting more. However, land resource and energy is getting scarced. It's impracticable to build rails or roads to solve the transport problem. It's a good idea to study the content of making the motor train run safe and dense without additional rails. It analyzes and models the running process in the transport network based on the theory of the common motor train, and determins an optimal algorithm to make the running process safe and efficient. The issue studies the technology on opterating motor running based on communication, technology on moving automatic block, position and velocity measuring of train. It's the foundation of establishing the train operation control system.The issue designs a new operation control system of motor train based on the traditional operation control system of train. It's the material basis for motor train runnning.First of all, the issue studies the application of fuzzy algorithm to motor train running and then designs a fuzzy controller that controls the running efficiently. The results show that the controller meets the requirements basically, but the real-time is not high and stability is poor. Therefore, the property of the controller needs to be improved. In order to achieve better result, the fuzzy neural network algorithm that has adaptive and self-learning function is adopted. It trains the netwok parameters offline and then do simulink experiments. The results show that the fuzzy neural network could approach nonlinear system efficiently and the real-time and stability is very good.The fuzzy neural network algorithm realizes the running effect of safety, high speed and efficience and has a certain reference value for this motor train in future.