The Application of BP Neural Network in the Thrust Hydraulic System for Shield Tunneling Machine

摘要

This paper studies the problem of the precision of thrust speed and pressure compound control under the uncertain external load condition for shield tunneling machine. An controller about thrust speed and pressure is designed based on the traditional PID control algorithm combined with BP neural networks. By using AMEsim and Simulink software, the physical model and controller of the thrust system are established and joint simulation is conducted. The thrust system of shield machine model is simulated under the condition of different load and flow, which proves the stability and robustness of the controller with BP neural network algorithm.