Electromagnetic vibration table harmonic control system and method based on neural network inverse model

Abstract

The invention relates to the technical field of vibration harmonic control, in particular to an electromagnetic vibration table harmonic control system and method based on a neural network inverse model, and the system comprises a program control signal source, the neural network inverse model, an electromagnetic vibration table system, a vibration detection unit, a data collection unit, data processing software and harmonic analysis software. The system is based on a neural network inverse model, an electromagnetic vibration table is excited by setting an input quantity, an input voltage signal and an output vibration signal are processed to obtain a neural network inverse system training sample, and the output of the trained neural network inverse model is connected with the input of the electromagnetic vibration table in series. Accurate tracking of vibration signals output by the electromagnetic vibration table on expected signals input into the neural network inverse model is achieved. The control system disclosed by the invention is simple in composition structure, simple and convenient in operation process and wide in applicable frequency range, and has relatively high control precision on harmonic waves of vibration signals output by the electromagnetic vibration table.

Description

technical field [0001] The invention relates to the technical field of vibration and harmonic control, in particular to an electromagnetic vibration table harmonic control system and method based on a neural network inverse model. Background technique [0002] Usually, by constructing a closed-loop feedback control system or an amplitude precision adjustment system based on successive approximation, the harmonic control of the output vibration acceleration signal of the electromagnetic shaking table used for the calibration of the vibration sensor or the simulation test of the product vibration environment can be realized. [0003] The implementation process of the closed-loop feedback control system usually needs to be equipped with expensive high-precision vibration signal detection sensors, and the closed-loop control system also has technical problems such as high stability requirements and difficult parameter adjustment. The vibration signal amplitude adjustment system ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of cumbersome operation process, low efficiency and limited scope of application in the traditional control and adjustment system of the output vibration acceleration signal harmonic of the electromagnetic vibrating table, in order to realize the open-loop intelligent control of the electromagnetic vibrating table with load parameter changes, the present invention proposes A Harmonic Control System and Method for Electromagnetic Vibrating Table Based on Neural Network Inverse Model

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