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On-line Identification Method of Mechanical System Model

A mechanical system and identification method technology, applied in the field of online identification of mechanical system models, can solve problems such as inaccurate estimation, difficult convergence of real-time models, inaccurate adaptive models, etc., to achieve high-precision modeling, stable convergence process, and convergence speed fast effect

Active Publication Date: 2022-05-06
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the early stage of modeling, due to the inaccuracy of the adaptive model, the traditional identification method uses the real-time updated system model to estimate the response of the command signal, so this estimate is inaccurate, which makes it difficult for the real-time model to converge

Method used

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  • On-line Identification Method of Mechanical System Model
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  • On-line Identification Method of Mechanical System Model

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Embodiment Construction

[0028] The following will refer to the attached Figure 1 to Figure 4 Specific examples of the present invention are described in more detail. Although specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and is not limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0029] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises" mentioned throughout ...

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Abstract

The invention discloses an online identification method of a mechanical system model. The method includes the following steps: setting the initial value of the FTR transversal filter used for identifying the mechanical system model; The sum of δ[n] is used as the input signal u[n] of the actual system, the output signal d[n] of the actual system is observed, and the input vector δ[n]= composed of the jitter modeling signal δ[n] and its historical value is used [δ[n], δ[n‑1], ..., δ[n‑M+1]] T And filter weight vector w[n]=[w 0 ,w 1 ,...,w M‑1 ] T Perform convolution to get the filter output y δ [n]=w[n] T δ[n], input units through adaptive weights w r [n], and accumulated at the output of the filter to obtain the model output y m [n]=y δ [n]+w r [n], using the observed actual system output signal d[n] and the model output y m [n], calculate the modeling error e[n]=d[n]‑y m [n], adaptive weight w for unit input r make adjustments, w r [n+1]=w r [n]+μ r e[n], adjust the filter weight W[n], and continue the adaptive modeling process at the next moment from the second step.

Description

technical field [0001] The invention belongs to the technical field of aero-engine control, in particular to an online identification method of a mechanical system model. Background technique [0002] In mechanical systems, the system model is the basis for system analysis and control. Traditional mechanism modeling methods often cannot accurately describe all the characteristics of the system, and cannot consider the differences between the actual system and the theoretical model, so they often cannot accurately describe the system characteristics. In practice, the system identification method based on input and output data is often used for modeling. Through a certain model framework, the input and output data are used to find the optimal model parameters. In system identification, the signal that needs to be input into the system is sufficiently excited, so that all the characteristics of the system can be excited and accurate modeling can be realized. In a real-time sy...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17G06F30/20G06K9/00
CPCG06F2218/04
Inventor 陈雪峰杨亮东刘金鑫乔百杰严如强
Owner XI AN JIAOTONG UNIV
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