配管系の振動制御 : フィードバック誤差学習法による方法

概要

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This paper proposes a vibration control method for piping systems using a feedback control system constructed with LQ-control and a neural network featuring feedback-error learning. The piping system is normally flexible. Therefore, natural frequencies of the system fluctuate when the density of the content varies. This paper shows that the piping system change the dynamics according to increase or decrease of the mass effects. In order to reduce the first vibration mode of the piping system without spillover instability, the control system is designed using LQ-control with feedback-error learning applied to an adapted nonlinear feedback controller. Effectiveness of this control method is confirmed by the neural network simulation program named NeuroLab and is experimented data measured by the control system constructed with the digital signal processing unit.
1995-07-25