| Mechanical Engineering |
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| A cutterhead energy-saving technique for shield tunneling machines based on load characteristic prediction |
| Xu Yang, Guo-fang Gong, Hua-yong Yang, Lian-hui Jia, Qun-wei Ying |
| The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China; China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, China; Hangzhou Boiler Group Co., Ltd., Hangzhou 310021, China |
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Abstract In this paper, we propose a shield cutterhead load characteristic forecast method and apply it to optimize the efficiency of the cutterhead driving system. For the forecast method, wavelet transform is used for preprocessing, and grey model GM(1,1) for forecasting. The performance of the wavelet-based GM(1,1) (WGM(1,1)) is illustrated through field data based load characteristic prediction and analysis. A cutterhead mode control strategy (CMCS) is presented based on the WGM(1,1). The CMCS can not only provide operators with some useful operating information but also optimize the stator winding connection. Finally, the CMCS is tested on a cutterhead driving experimental platform. Results show that the optimized stator winding connection can improve the system efficiency through reducing the energy consumption under part-load conditions. Therefore, the energy-saving CMCS is useful and practical.
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Received: 23 October 2014
Published: 04 May 2015
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