Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Engine model correction method based on improved multivariate universe algorithm

A model correction, engine technology, applied in CAD numerical modeling, design optimization/simulation, geometric CAD, etc., to achieve the effect of improving accuracy and solving accuracy problems

Active Publication Date: 2020-04-28
NAVAL AVIATION UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the modeling process, due to the limitation of the modeling method, many assumptions and simplifications need to be made on the engine, so there is a certain difference between the built model and the real engine performance

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
  • Engine model correction method based on improved multivariate universe algorithm
  • Engine model correction method based on improved multivariate universe algorithm
  • Engine model correction method based on improved multivariate universe algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0057] The present invention is based on the measured data of the steady state of the engine, combined with the initial guess value of the common working equation of the engine model, and selects six component characteristic data for correction, which are fan flow, fan efficiency, compressor flow, compressor efficiency, low-pressure turbine Efficiency and high-pressure turbine efficiency, the correction factor is recorded as X=[x i ], i=1,2...6. The engine steady-state model correction method is to calculate the appropriate correction factor X, so that the error between the output parameters of the model and the measured performance parameters is minimized. Therefore, after selecting the target parameters representing the engine performance, the objective function of the correction method is constructed as follows:

[0058]

[0059] where Y cal,i is the model calculated value of the engine performance parameter, Y act,i is the actual measured value of the engine performan...

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 engine model correction method based on an improved multivariate universe algorithm. The method is characterized in that after a correction factor is selected and a target function of a correction method is constructed, an improved multivariate universe algorithm is applied to target function optimization calculation of turbofan engine model correction; based on a conventional multivariate universe optimization algorithm, by modifying a wormhole mechanism formula, the optimization capacity of the algorithm to the problems such as strong nonlinearity and strong vectorcorrelation of the model is improved, a chaos thought is introduced, and the global exploration capacity of the algorithm is enhanced by chaos initialization of the universe and chaos search in the area near the optimal universe of each generation. According to the invention, the problem of large deviation between the calculation result and the test result of the mathematical model of the aero-engine can be well solved, the precision of the turbofan engine model corrected by the improved multivariate universe algorithm is obviously improved, the situation that the error of a single parameteris particularly large does not exist, and the precision requirement of engineering application can be met.

Description

technical field [0001] The invention relates to an engine aerodynamic thermodynamic model correction method based on an improved multiverse algorithm, and belongs to the field of engine modeling and model correction. Background technique [0002] An aero-engine is usually composed of a control system and a controlled object. The controlled object is the engine itself, and the design and analysis of the control system first requires the establishment of a mathematical model of the engine. important link. Using mathematical models instead of real engines for simulation research can not only save a lot of cost, but also avoid accidents that may occur during the debugging process of real engines. In the modeling process, due to the limitation of the modeling method, many assumptions and simplifications need to be made on the engine, so there is a certain difference between the built model and the real engine performance. Therefore, how to improve the accuracy of the engine mat...

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): G06F30/20G06F30/17G06F111/10
Inventor 钱仁军李本威赵姝帆周鹏宇董庆林学森张赟王永华
Owner NAVAL AVIATION UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com