基于单神经元PID的盾构推进系统同步控制研究

发布时间：2018-05-02 19:25

  本文选题：推进系统 + 单神经元　； 参考：《工程设计学报》2017年03期

【摘要】：以在南昌地铁1号线艾溪湖东站至艾溪湖西站区间施工的"英雄号"盾构机为研究对象,针对盾构在复杂地层施工时,常规PID算法无法满足推进油缸速度同步控制的问题,提出单神经元PID控制策略。通过AMESim建立液压推进系统的物理模型,并利用Simulink设计出单神经元控制器,最后进行联合仿真,分析在不均突变载荷下各区间推进油缸的速度响应特性。仿真结果表明,该控制策略与常规PID相比,调节时间缩短0.1s左右,振荡幅值减小至原来的1/2内。由此可得,采用单神经元PID控制能够有效地解决推进油缸速度同步性差的问题,为不良地质环境下盾构推进系统的同步控制提供了理论支撑。
[Abstract]:Taking the "Hero" shield machine in the section from Exi Lake East Station to Exi Lake West Station on Nanchang Metro Line 1 as the research object, aiming at the problem that the conventional PID algorithm can not meet the problem of synchronous control of the speed of propelling oil cylinder during the construction of shield machine in complex stratum. A single neuron PID control strategy is proposed. The physical model of hydraulic propulsion system is established by AMESim, and a single neuron controller is designed by using Simulink. Finally, the velocity response characteristics of each interval propulsion cylinder under uneven abrupt load are analyzed by joint simulation. The simulation results show that compared with the conventional PID, the control strategy shortens the adjusting time by about 0.1 s and reduces the oscillation amplitude to within 1 / 2 of the original value. It can be concluded that using single neuron PID control can effectively solve the problem of differential synchronism of propulsion cylinder velocity, and provide theoretical support for synchronous control of shield tunneling propulsion system under unfavorable geological environment.
【作者单位】： 盾构及掘进技术国家重点实验室;机械装备先进制造河南省协同创新中心;河南科技大学机电工程学院;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2014CB046906) 国家高技术研究发展计划(863计划)资助项目(2012AA0418002) 盾构及掘进技术国家重点实验室开放课题(2014-03)
【分类号】：TP273;U455.39
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本文编号：1835171