Optimal control for a shield machine subject to multi-point earth pressure balance

This paper discusses multi-point earth pressure balance (EPB) optimal control for EPB shield machine with five pressure sensors on its chamber clapboard. The predictive models taking into account advance speed, rotating speed of the cutter head, screw conveyor speed, and the earth pressure measureme...

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Bibliographic Details
Published inSystems science & control engineering Vol. 3; no. 1; pp. 397 - 403
Main Authors Li, Kairu, Shao, Cheng
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.01.2015
Subjects
ACS algorithm
adaptive neuro-fuzzy inference system (ANFIS)
earth pressure balance
shield machine
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ISSN2164-2583
2164-2583
DOI10.1080/21642583.2015.1053004

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Summary:This paper discusses multi-point earth pressure balance (EPB) optimal control for EPB shield machine with five pressure sensors on its chamber clapboard. The predictive models taking into account advance speed, rotating speed of the cutter head, screw conveyor speed, and the earth pressure measurements are established for five shield chamber pressure points with the adaptive neuro-fuzzy inference system by minimizing the deviation between the corresponding point's predicted pressures and the settings. Then, the ant colony system algorithm is employed to get the optimal screw conveyor speed to control the EPB during the tunnelling process. Simulation results show that the optimal control method gives better performance with small tracking error and fast tracking speed.
ISSN:2164-2583
2164-2583
DOI:10.1080/21642583.2015.1053004