基于分级控制的智能预应力结构模型试

MODEL EXPERIMENT OF SMART PRESTRESSED STRUCTURE BASED ON MULTILEVEL CONTROL

  • 摘要: 针对活载与恒载比值高的情况,提出在斜拉桥中采用随活载变化而变化的智能斜拉索方法,即根据主梁承受的荷载情况,在斜拉索中配置适当的作动系统,通过作动系统实时改变索力大小,从而实现主梁监控点处挠度或应变始终控制在目标范围内。基于分级控制算法,以应变控制为目标,采用数字信号控制系统进行了智能斜拉桥模型在移动荷载作用下的主动控制试验,研究了控制算法中电机转速设置对智能斜拉索系统控制性能的影响,以及在不同荷载移动速度下,控制算法中的死区设置和电机转速设置对智能斜拉索系统控制性能的影响。试验结果表明,通过作动器速度的分级和限位应变范围的分级,可提高系统在快速移动荷载作用下的控制能力,同时又能避免系统在慢速移动荷载作用下的频繁启动,实现了自适应控制的目标。

     

    Abstract: Considering the high ratio of live load to dead load, this paper proposes using smart cables in the cable-stayed bridge. Under various load conditions, the deflection and strain of the main girder can be controlled in the allowed range when the employed actuator system can contract or release the smart cables in real-time. Based on a multilevel control algorithm, the active control experiment of a cable-stayed bridge model that used a digital control system was investigated, in which the mid-span strain is used as feedback. The influence of motor speed parameters setting on the smart system performance was examined and the influence of multi-level strain limit and motor speed parameters setting on the smart system performance was also studied. The result shows that the control ability of fast loads can be improved, and the energy consumption of slow loads can be reduced simultaneously, by means of classifying the actuator speed and the limited strain range.

     

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