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论文类型：期刊论文

发表时间：2015-01-01

发表刊物：Systems Science and Control Engineering

收录刊物：EI、Scopus

卷号：3

期号：1

页面范围：397-403

ISSN号：21642583

摘要：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. ? 2015 The Author(s). Published by Taylor & Francis.