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A Modeling Method for Aeroengine System Identification Based on Hybrid Sequence

An aero-engine and system identification technology applied in the aerospace field to achieve excellent generalization performance and reduce conservatism

Active Publication Date: 2021-10-22
XIAMEN UNIV
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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 the aero-engine model, but the existing research results are limited to linear parametric systems, it is urgent to establish a nonlinear model that conforms to the characteristics of the aero-engine

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  • A Modeling Method for Aeroengine System Identification Based on Hybrid Sequence
  • A Modeling Method for Aeroengine System Identification Based on Hybrid Sequence
  • A Modeling Method for Aeroengine System Identification Based on Hybrid Sequence

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[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...

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Abstract

The invention discloses an aeroengine system identification and modeling method based on a hybrid sequence. First, a component-level model of an aeroengine is established, and a linear time-invariant model of a single working state is constructed according to the input and output of each working state point and state quantity data. The model problem is transformed into a system identification problem solving the least squares; secondly, a suitable model class, estimation method and signal source are selected to solve the least squares problem, and a linear time-invariant model of a single working state is established; finally, through linear regression Build a polynomial nonlinear system under ground conditions. The invention can effectively solve the state space modeling problem of the aero-engine in the field of multivariable control.

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...

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Application Information

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Patent Type & Authority Patents(China)
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