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Rotor system NARX modeling method based on QR-FROLS algorithm

A modeling method and rotor technology, applied in the field of NARX modeling of the rotor system based on the QR-FROLS algorithm, can solve the problems of unstable modeling results of harmonic signals, reduce multicollinearity, and easy divergence of predicted output, etc. Influence, solve the effect of easy divergence, enhance the robustness

Active Publication Date: 2021-10-26
NORTHEASTERN UNIV
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Problems solved by technology

Through simulation and experimental verification, the method of the present invention can effectively reduce the multicollinearity of the model item candidate set composed of time-delay variables of the harmonic signal of the rotor system, thereby solving the problem of unstable modeling results of the harmonic signal of the rotor system using the FROLS algorithm, and predicting The problem that the output is easy to diverge

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[0066] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0067] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention provides a rotor system NARX modeling method based on a QR-FROLS algorithm, and the method comprises the steps: collecting a vibration response signal used for representing the dynamic characteristics of a rotor system, and enabling the vibration response signal to serve as the input and output of an NARX model; constructing a model item candidate set based on the input and output time delay variables; performing normalization processing on a column corresponding to each model item in the model item candidate set to obtain a model item matrix; performing column principal component QR decomposition on the normalized model item matrix; screening the model items based on the cumulative proportion of the diagonal values of the R matrix to form a new model item candidate set; and establishing an NARX model by adopting an FROLS algorithm based on the new model item candidate set. According to the technical scheme of the invention, the multi-collinearity of the model item candidate set composed of the rotor system harmonic signal time delay variables can be effectively reduced, and the problems that the modeling result of the rotor system harmonic signal by using the FROLS algorithm is unstable and the prediction output is easy to diverge are solved.

Description

technical field [0001] The present invention relates to the technical field of model building, in particular to a NARX modeling method for a rotor system based on a QR-FROLS algorithm. Background technique [0002] The dynamic analysis of the rotor system is inseparable from a reasonable dynamic model. When establishing a complex rotor system model through mechanism modeling, it is necessary to consider various model parameters such as moment of inertia, gyro torque, and load. The accuracy of the model depends on whether the influence factors of the rotor dynamics are considered sufficiently and the basic laws of the actual rotor system are fully grasped. The data-driven modeling method only directly models the relationship between the input and output data in the research object, and does not require professional knowledge and complex calculation processes. The model can be applied to highly nonlinear and severely uncertain systems, so as to solve the The system modeling p...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042Y02T90/00
Inventor 高屹朱云鹏罗忠仇越周广泽
Owner NORTHEASTERN UNIV
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