Dynamic simulation of the belt conveyor in neural network

This paper analyzes the example of a belt conveyor on coal harbor, and adopts the newly popular Simulink simulation software based Matlab language. This software provides a new solution for system simulation technology, and not only improves the efficiency of computer programming, but greatly enhances programming equality and reliability. The jointly working scope of driving device can be attained by their crossing points, and output characteristic curve of jointly working may be programmed by neural networks algorithm, which owning fast fitting speed, high fault-tolerant capability and nonlinear modeling performance. The output torque of driving system in s-function block is served as input source block of conveyor system, the state space block of the belt as system block and dynamic tensions as output block of conveyor system, thus the simulation model of whole conveyor system is created and solver in variable-step is selected to solve the simulation model because this solver is stable, efficient and accurate to stiff equations and the varying process of each dynamic parameters are available during full-load starting. The simulation results of conveyor system can assure smooth braking and the security of conveyor system.