Aero-engine system identification modeling method based on mixed sequence

An aero-engine and system identification technology, which is applied in the aerospace field to achieve the effect of reducing conservatism and excellent generalization performance

Active Publication Date: 2020-05-19
XIAMEN UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this modeling method obtains a small disturbance state variable model, which has certain limitations for full-envelope multivariable control
[0005] In view of the strong nonlinearity of th

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Aero-engine system identification modeling method based on mixed sequence
  • Aero-engine system identification modeling method based on mixed sequence
  • Aero-engine system identification modeling method based on mixed sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.

[0045] The invention regards the component-level model of the aero-engine as the identification object, adopts the L-M least square estimation method and takes the mixed sequence as input to model the component model of the aero-engine into a polynomial nonlinear model at each working state point. By transforming the modeling problem of aeroengine into the system identification problem based on the L-M least squares estimation method, and improving the way of signal source, the computational complexity can be effectively reduced while improving the system identification accuracy.

[0046] For this reason, the present invention designs a kind of aero-engine system identification modeling method based on mixed sequence, and it establishes aero-engine polynomial nonlinear mod...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an aero-engine system identification modeling method based on a mixed sequence, and the method comprises the steps: firstly establishing a part-level model of an aero-engine, and converting a linear time-invariant modeling problem of a single working state into a system identification problem for solving least squares according to the input and output of each working statepoint and state quantity data; secondly, selecting an appropriate model class, an estimation method and a signal source to solve a least square problem, and establishing a linear time-invariant modelof a single working state; and finally, establishing a polynomial nonlinear system under the ground condition in a linear regression mode. According to the method, the problem of state space modelingof the aero-engine in the multivariable control field can be effectively solved.

Description

technical field [0001] The invention relates to the field of aerospace technology, in particular to an aeroengine system identification and modeling method based on a hybrid sequence. Background technique [0002] Since an aero-engine is a complex fluid machine integrating aerodynamics, combustion, structural strength, automatic control, and materials, its dynamic system is characterized by strong nonlinearity and complexity. Therefore, the modeling of aero-engine systems It is difficult to obtain a state variable model that is beneficial to the design of multivariable control systems, but it is a challenging and very important task. [0003] At present, domestic research on aero-engine modeling basically stays at the non-linear model of aero-engine thermodynamics based on the component method. The basic principle of this model is based on the Brayton cycle principle followed by the aero-engine, and according to the working characteristics of each component, an iterative al...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F30/20G06F111/10
Inventor 曾建平凌彦聪岳世壮朱平芳余联郴
Owner XIAMEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap