Abstract:

As a key factor for ground settlement control, the earth pressure balance of seal chamber is an important guarantee for safe shield construction. In order to map the nonlinear coupling relationship between the excavation parameters affecting the earth pressure balance, enhance the dynamic performance of the nonlinear control model and improve the control precision of the earth pressure balance in seal chamber, a screw conveyor speed control model based on feedforward structure of inverse dynamic neural network is established according to the monitoring data and the control difficulty of the excavation parameters affecting the earth pressure balance. The performance and effect of the control model are analyzed and verified. The results show that: (1) the feedforward speed by the dynamic neural network can respond quickly to the variations of propulsion speed and cutter torque; (2) compared with the method of manually controlling the speed of the screw conveyor under the condition of excavation, the maximum fluctuation error of the earth pressure of the seal chamber under the feedforward control of the dynamic neural network is reduced from 9.8% to 5.3%

Key words: EPB shield, earth pressure control, dynamic neural network, inverse control, screw conveyor