Title :
Control of dynamical system in shield tunneling using neural network
Author :
Li Shouju ; Cao Lijuan ; Qu Fuzheng ; Shangguan Zichang
Author_Institution :
State Key Lab. of Struct. Anal. for Ind. Equip, Dalian Univ. of Technol., Dalian, China
Abstract :
The control model of earth pressure in shield tunneling operation is proposed based on mass conservation law and deformation characteristic of muck in pressurized chamber. PID neural network is applied to control earth pressure in pressurized chamber of shield. The laboratory test for shield tunneling was performed. The experimental data show that the proposed control model and algorithm are effective. The earth pressure in pressurized chamber of shield can be effectively controlled by adjusting rotating speed of screw conveyor.
Keywords :
construction industry; conveyors; neurocontrollers; three-term control; tunnels; PID neural network; dynamical system; earth pressure; mass conservation law; muck deformation characteristic; pressurized chamber; screw conveyor; shield tunneling; Artificial neural networks; Earth; Face; Fasteners; Nonlinear dynamical systems; Soil; Tunneling; experimental investigation; neural network; shield tunneling; system control;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970552
