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

fYear

2011

fDate

21-25 June 2011

Firstpage

28

Lastpage

31

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2011 9th World Congress on

Conference_Location

Taipei

Print_ISBN

978-1-61284-698-9

Type

conf

DOI

10.1109/WCICA.2011.5970552

Filename

5970552