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Control of a cantilever pipe conveying fluid using neural network

机译:使用神经网络控制悬臂管输送液

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The purpose of this paper is to investigate the dynamic behavior of a fluid conveying pipe and to propose suitable control strategies in order to eliminate or suppress its vibration. The system under consideration consists of a uniform, straight, vertical cantilever pipe which conveys incompressible fluid. Governing equation of motion for free transverse vibration is derived by using Newtonian approach. This equation is dis-cretized using the finite element method. The effects of the fluid flow speed on open loop response of the system are investigated. The results show unstable behavior when the flow velocity exceeds a critical value. Neural network based controller are applied to the system to suppress the pipe vibration and to improve the stability conditions. The results show that neural network based controller successfully suppresses the vibration when the critical flow velocity is exceeded. Moreover, it holds the system response in the stable region at higher flow velocities. NN based controller learns the variation of the system against unknown flow velocities in the system and adapts itself against unknown changes.
机译:本文的目的是研究流体输送管的动态行为,并提出合适的控制策略,以消除或抑制其振动。所考虑的系统由均匀,直的垂直悬臂管组成,可传递不可压缩的流体。通过使用牛顿方法来源于自由横向振动的动作方程。使用有限元方法进行该等式。研究了流体流速对系统开放环响应的影响。当流速超过临界值时,结果显示了不稳定的行为。基于神经网络的控制器应用于系统以抑制管道振动并改善稳定性条件。结果表明,当超出临界流速时,神经网络的控制器成功抑制了振动。此外,它在较高的流速下保持稳定区域中的系统响应。基于NN的控制器学习系统对系统未知流速的变化,并适应未知的变化。

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