DocumentCode :
133476
Title :
Earth pressure multipoint forecasts and optimal control for EPB shield
Author :
Kairu Li ; Yan Zhang ; Cheng Shao
Author_Institution :
Sch. of Control Sci. & Eng., Dalian Univ. of Technol., Dalian, China
fYear :
2014
fDate :
12-13 Sept. 2014
Firstpage :
272
Lastpage :
276
Abstract :
This article discusses multipoint earth pressure prediction issue for EPB (Earth Pressure Balance) shield chamber´s pressure field. Based on advance rate, rotating speed of the cutter head, screw conveyor speed, and the earth pressure measurements, four forecasting models are established for shield chamber pressure points with the adaptive neuro-fuzzy(ANFIS) by minimizing deviation between the corresponding point´s predicted pressures and the settings. Then, use the genetic algorithm to get the optimal screw conveyor speed to control the earth pressure balance tunneling process. Simulation results show that the proposed prediction and the optimal control method give better performance with small tracking error and fast tracking speed.
Keywords :
construction equipment; control engineering computing; cutting tools; fuzzy reasoning; genetic algorithms; geotechnical engineering; optimal control; structural engineering computing; ANFIS; EPB shield chamber pressure field; adaptive neuro-fuzzy; cutter head rotating speed; earth pressure balance; earth pressure multipoint forecasts; genetic algorithm; multipoint earth pressure prediction issue; optimal control method; optimal screw conveyor speed; Earth; Fasteners; Genetic algorithms; Mathematical model; Optimization; Predictive models; Tunneling; adaptive neuro-fuzzy; earth pressure balance; genetic algorithm; shield; tunneling parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Computing (ICAC), 2014 20th International Conference on
Conference_Location :
Cranfield
Type :
conf
DOI :
10.1109/IConAC.2014.6935499
Filename :
6935499
Link To Document :
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