On-line Prediction Method of Gas Path Parameters of Aeroengine

A technology for aero-engine and gas path parameters, applied in geometric CAD and other directions, can solve the problems of difficulty in meeting the application requirements of model-based control, the computing power requirements of huge airborne systems, and the difficulty in meeting real-time requirements. The effect of high real-time performance and small amount of calculation

Active Publication Date: 2021-05-28
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to its complex structure and large amount of calculation, repeated calls to this model during the optimization process will generate a huge demand for the computing power of the airborne system
In addition, the linearization operation for Kalman filter estimation will generate additional model calculation requirements, so it is difficult to meet the real-time requirements of model-based control based on optimization ideas
[0009] Therefore, the existing online gas path parameter prediction method is limited by the shortcomings of the airborne model it uses, and it is difficult to meet the application requirements of model-based control based on optimization ideas. A method with high precision, high real-time performance and low computational burden is needed On-line Gas Path Parameter Prediction Method

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
  • On-line Prediction Method of Gas Path Parameters of Aeroengine
  • On-line Prediction Method of Gas Path Parameters of Aeroengine
  • On-line Prediction Method of Gas Path Parameters of Aeroengine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] Aiming at the defects existing in the existing aero-engine gas path parameter prediction methods, the present invention tracks the real engine working state through the component-level model, the component partial derivative model and the improved linearized Kalman filter, so that the state space constructed online The model has adaptive ability and can be used to predict the future output changes of the engine. Using the principle of aero-engine and aerodynamic calculation method, on the basis of the component-level model, construct a partial derivative model through differential operation and chain derivation rule to realize linearization operation, update the state space model and Kalman filter at each sampling moment online The system matrix required in the recursion process. Improve the estimation logic of the linearized Kalman filter, make full use of the working point information at the last moment, and estimate the health parameters and state quantities incremen...

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 online prediction method for air path parameters of an aero-engine, comprising: step A, obtaining the current moment through a sensor k The measured values ​​of the engine's measurable parameters; Step B, use the linearized Kalman filter to incrementally estimate the engine health parameters and state quantities; Step C, update the health parameters and external inputs of the engine model, based on the component-level partial derivative model Update the state space model required by the Kalman filter and the gas path parameter prediction state space model; step D, transfer the control input sequence to the gas path parameter prediction state space model, and perform online prediction of engine gas path parameter changes. The invention can effectively evaluate the real engine health state in the dynamic process, and quickly and accurately predict the change of gas path parameters online according to a given input sequence.

Description

technical field [0001] The invention belongs to the field of system simulation and control in aerospace propulsion theory and engineering, and in particular relates to an online prediction method for air path parameters of an aeroengine. Background technique [0002] With the development and progress of engine technology, higher requirements are put forward for the control system of aero-engine, which makes the model-based control method with the potential of mining engine performance attract much attention. Model-based control uses the onboard model to estimate and predict the output parameters of the engine gas path, and provides the engine state change information for the control system to achieve high-performance control. [0003] In the application process of the model-based control method based on the optimization idea, it is necessary to predict the output sequence corresponding to the controlled quantity and the safety limit quantity under multiple sets of given futu...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17
Inventor 庞淑伟李秋红张海波陈尚晰管庭筠
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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