盾构土压平衡动态神经网络逆控制技术研究
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摘要
盾构密封舱的土压平衡作为地表沉降控制的关键因素对盾构安全施工具有重要保障。为映射影响土压平衡掘进参数之间的非线性耦合关系,增强非线性控制模型的动态性能,提高土压平衡的控制精度,根据盾构施工中影响密封舱内土压平衡的掘进参数调控的难易程度,依托现场监测数据建立基于动态神经网络逆控制前馈作用下的螺旋输送机转速控制模型。对控制模型的性能与效果进行分析验证,结果表明:动态神经网络输出的前馈螺旋输送机转速能够对推进速度、刀盘转矩的变化响应灵敏;在给定掘进条件下与通过人工调节螺旋输送机转速控制土舱压力的方法相比,动态神经网络逆控制前馈作用下密封舱土压的最大波动误差由9.8%降为5.3%。
As a key factor for ground settlement control, the earth pressure balance of seal chamber is an important guarantee for safe shield construction. In order to map the nonlinear coupling relationship between the excavation parameters affecting the earth pressure balance, enhance the dynamic performance of the nonlinear control model and improve the control precision of the earth pressure balance in seal chamber, a screw conveyor speed control model based on feedforward structure of inverse dynamic neural network is established according to the monitoring data and the control difficulty of the excavation parameters affecting the earth pressure balance. The performance and effect of the control model are analyzed and verified. The results show that:(1) the feedforward speed by the dynamic neural network can respond quickly to the variations of propulsion speed and cutter torque;(2) compared with the method of manually controlling the speed of the screw conveyor under the condition of excavation, the maximum fluctuation error of the earth pressure of the seal chamber under the feedforward control of the dynamic neural network is reduced from 9.8% to 5.3%.
As a key factor for ground settlement control, the earth pressure balance of seal chamber is an important guarantee for safe shield construction. In order to map the nonlinear coupling relationship between the excavation parameters affecting the earth pressure balance, enhance the dynamic performance of the nonlinear control model and improve the control precision of the earth pressure balance in seal chamber, a screw conveyor speed control model based on feedforward structure of inverse dynamic neural network is established according to the monitoring data and the control difficulty of the excavation parameters affecting the earth pressure balance. The performance and effect of the control model are analyzed and verified. The results show that:(1) the feedforward speed by the dynamic neural network can respond quickly to the variations of propulsion speed and cutter torque;(2) compared with the method of manually controlling the speed of the screw conveyor under the condition of excavation, the maximum fluctuation error of the earth pressure of the seal chamber under the feedforward control of the dynamic neural network is reduced from 9.8% to 5.3%.
引文
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[2] 刘宣宇,邵诚.盾构机自动控制技术现状与展望[J].机械工程学报,2010,46(20):152.LIU Xuanyu,SHAO Cheng.Present status and prospect of shield machine automatic control technology[J].Journal of Mechinal Engineering,2010,46(20):152.
[3] 胡国良,龚国芳,杨华勇.盾构掘进机土压平衡的实现[J].浙江大学学报(工学版),2006,40(5):874.HU Guoliang,GONG Guofang,YANG Huayong.Realization of earth pressure balance for shield tunneling machine[J].Journal of Zhejiang University(Engineering Science),2006,40(5):874.
[4] YANG Huayong,SHI Hu,GONG Guofang,et al.Earth pressure balance control for EPB shield[J].Sci China Ser E-Tech Sci,2009,52(10):2840.
[5] 王林涛,龚国芳,杨华勇,等.基于前馈-反馈复合控制的盾构土压平衡控制[J].中南大学学报(自然科学版),2013,44(7):2726.WANG Lintao,GONG Guofang,YANG Huayong,et al.Earth pressure balance control based on feedforward-feedback compound control[J].Journal of Central South University (Science and Technology),2013,44(7):2726.
[6] YEH I C.Application of neural networks to automaticsoil pressure balance control for shield tunneling[J].Automation in Construction,1997,5(5):421.
[7] BENARDOS A G,KALIAMPAKOS D C.Modeling TBM performance with artificial neural networks[J].Tunnelling and Underground Space Technology,2004,19 (6):597.
[8] 施虎,龚国芳,杨华勇.盾构掘进土压平衡控制模型[J].煤炭学报,2008,33(3):343.SHI Hu,GONG Guofang,YANG Huayong.Control model of earth pressure balance for shield tunneling[J].Journal of China Coal Society,2008,33(3):343.
[9] 李守巨,陈禹臻,曹丽娟,等.土压平衡盾构机密封舱压力控制机理模型研究[J].岩土工程学报,2011,33(1):34.LI Shouju,CHEN Yuzhen,CAO Lijuan,et al.Mechanism model of pressure control of head chamber in earth-pressure balanced shield tunneling[J].Chinese Journal of Geotechnical Engineering,2011,33(1):34.
[10] 上官子昌,李守巨,孙伟,等.土压平衡盾构机密封舱土压力控制方法[J].煤炭学报,2010,35(3):402.SHANGGUAN Zichang,LI Shouju,SUN Wei,et al.Controlling earth pressure of head chamber of earth pressure balance(EPB) shield machine[J].Journal of China Coal Society,2010,35(3):402.
[11] 宋英莉,刘宣宇,张凯举,等.IMNMSSPC算法在盾构机土压平衡控制中的应用[J].计算机工程与应用,2017,53(4):251.SONG Yingli,LIU Xuanyu,ZHANG Kaiju,et al.Algorithm of IMNMSSPC applied in earth pressure balance(EPB)control of shield machine[J].Computer Engineering and Applications,2017,53(4):251.