Ship rotating mechanical equipment feed-forward vibration control system based on supervised learning

Abstract

According to the ship rotating mechanical equipment feedforward vibration control system based on supervised learning, by means of the pre-trained supervised learning model, the model parameter Apq of the secondary channel model can be updated on line according to different working conditions, and meanwhile weight parameters are updated according to historical acceleration signals, rotating speed signals and the like; and finally, based on the rotating speed signal filtered by the model parameter Apq and the weight parameter, obtaining a current signal of the driving motor for inhibiting the vibration of the rotating mechanical equipment, so that the influence of the vibration working condition change on the secondary channel is considered, the algorithm precision is higher, the method is more suitable for the vibration working condition change, and a better vibration control effect can be achieved.

Description

technical field [0001] The invention belongs to the technical field of mechanical vibration control, and in particular relates to a feedforward vibration control system for ship rotating mechanical equipment based on supervised learning. Background technique [0002] The motors, steam turbines, pumps and other rotating machinery equipped on various ships are generally connected to the hull through rubber vibration isolators. The rubber vibration isolator plays the role of connection on the one hand and vibration isolation on the other. However, rubber vibration isolators generally have better vibration isolation effects on high-frequency spectrum lines, but poor vibration isolation effects on low-frequency spectrum lines. Therefore, active vibration control techniques have been proposed for further reducing the low spectral lines. Feed-forward vibration control is a common control method, which needs to build a secondary channel model in the algorithm. The secondary chann...

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Problems solved by technology

[0003] In order to solve the above-mentioned problem that the secondary channel cannot be updated online according to the change of working conditions, the present invention provides a feedforward vibration control system for ship rotating machinery based on supervised learning. With the help of supervised learning, the secondary channel model can be updated online according to different working conditions , to adapt to complex vibration conditions and achieve better vibration control effects

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