盾构机推进液压系统仿真控制研究  被引量:8

Simulation control of shield tunneling machine propulsion hydraulic system

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作  者:拜颖乾[1] 高攀科[1] 任锐 Bai Yingqian;Gao Panke;Ren Rui(Department of Track Engineering,ShaanXi Railway Institute,Weinan 714099,Shaanxi,China;School of Mechanical Engineering,Chang’an University,Xi’an 710064,China)

机构地区:[1]陕西铁路工程职业技术学院轨道工程系,渭南714099 [2]长安大学机械工程学院,西安710064

出  处:《现代制造工程》2020年第9期128-135,共8页Modern Manufacturing Engineering

基  金:国家自然科学基金资助项目(51405058);陕西省高校科协青年人才托举计划项目(20190706)。

摘  要:推进液压系统是盾构机的关键设备之一,对盾构掘进姿态、隧道开挖速度以及掌子面的稳定起着至关重要的作用。常规推进液压系统采用比例调速阀及比例溢流阀控制系统的速度与压力,利用PID算法抑制推进过程中系统的速度和压力的波动。该常规PID控制方法在稳定性较高的地质条件下效果明显,但在软弱不均的地质环境下波动明显,影响开挖速度及精度。通过对系统及推进过程中的稳态性误差进行分析,建立系统AMEsim仿真模型;然后利用Simulink算法建立一种BP神经网络控制器,将AMEsim模型与Simulink算法的BP神经网络控制器进行联合仿真。结果表明:与常规PID控制相比,BP神经网络结合PID控制策略针对变流量、变压力工况有更好的响应特性,可以更好地抑制速度与压力的波动。The propulsion hydraulic system is one of the key equipment of shield tunneling machine,which plays an important role in shield tunneling attitude,tunnel excavation speed and the stability of the surface of the tunnel.The conventional propulsion system adopts proportional speed control valve and proportional overflow valve to control the system speed and pressure.The effect of this control method is obvious under the geological conditions with high stability,but the fluctuation is obvious under the weak and uneven geological environment,which affects the excavation speed and precision.Through analyzing the propulsion system and the steady state error,established AMEsim simulation model of the system in the process of propulsion,and Simulink algorithm was used to build a BP neural network controller,and the AMEsim model was co-simulated with the controller of Simulink algorithm.The results showed that:compared with conventional PID control,BP neural network combined with PID control strategy has better response characteristics for variable flow and pressure conditions,and can better suppress the fluctuation of speed and pressure.

关 键 词:推进液压系统 比例调速阀 PID控制 Simulink算法 AMEsim模型 BP神经网络 

分 类 号:TH69[机械工程—机械制造及自动化]

 

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