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Heterogeneous feature subsets ensemble algorithm-based test section Mach number modeling method

A technology of feature subsets and modeling methods, which is applied in computing models, special data processing applications, and computing, etc., can solve problems such as reducing the prediction accuracy of FSE models and limiting the actual application potential of FSE models, so as to improve application potential and improve diversity. The effect of improving the prediction speed

Active Publication Date: 2017-09-01
DALIAN UNIV
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AI Technical Summary

Problems solved by technology

Too many redundant sub-models will limit the practical application potential of FSE models
An effective way to solve this problem is to reduce the value of h*, but this will inevitably reduce the prediction accuracy of the FSE model

Method used

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  • Heterogeneous feature subsets ensemble algorithm-based test section Mach number modeling method
  • Heterogeneous feature subsets ensemble algorithm-based test section Mach number modeling method
  • Heterogeneous feature subsets ensemble algorithm-based test section Mach number modeling method

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Embodiment Construction

[0017] The invention will be further described below in conjunction with specific embodiments.

[0018] The Mach number modeling method of the test section based on the HFSE algorithm includes the following steps:

[0019] Step 1: Based on the subsonic one-dimensional isentropic flow theory, the Mach number Ma in the wind tunnel test section is determined by the total pressure P in the stable section o (KPa) and resident static pressure P s (KPa)Decision [5,6] :

[0020]

[0021] Therefore, to pre-obtain the Mach number in the test section, it is necessary to establish the total pressure model of the stable section and the static pressure model of the chamber. In order to accurately and quickly describe the dynamic characteristics of the wind tunnel flow field, the NARX method is selected for identification, and the NARX total pressure structure is established [5,6] :

[0022]

[0023] In the formula represents the estimated value of the total pressure, ψ o Repre...

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Abstract

The invention discloses a heterogeneous feature subsets ensemble (HFSE) algorithm-based test section Mach number modeling method, and belongs to the technical field of computer applications. The method comprises the steps that 1: based on a subsonic velocity one-dimensional isentropic flow theory, a wind tunnel test section Mach number is determined by a stilling chamber total pressure and a plenum chamber static pressure, so that NARX total pressure and static pressure model structures are established firstly; 2: an HFSE algorithm is proposed for fitting a nonlinear function of an NARX model, and heterogeneous sub-models are built in one-dimensional feature subsets of an FSE by taking a Fixed-size LS-SVM and an ELM as heterogeneous based learning machines; and 3: predicted values of HFSE-NARX total pressure and static pressure models are substituted into an empirical formula to obtain an HFSE Mach number model. The model can reduce the scale of a sub-model set, improve the Mach number prediction precision, and meet the requirement of a mean square root error smaller than or equal to 0.015.

Description

technical field [0001] The invention relates to a Mach number modeling method for a test section based on a heterogeneous feature subset integration (Heterogeneous Feature Subsets Ensemble, HFSE) algorithm, and belongs to the technical field of computer applications. Background technique [0002] Wind tunnel is the most basic test equipment for aerodynamic research and aircraft development. It is a piping system designed according to specific requirements, which can generate uniform and controllable airflow. According to the similarity and relativity of motion, it simulates a certain airflow environment on the ground for aerodynamic tests. [1] . The wind tunnel test is mainly carried out in the test section. The Mach number in the test section is one of the most important performance indicators in the test process. Its stability has an important impact on the quality of the wind tunnel flow field, which is related to the development quality of aircraft, etc. with level [2...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N99/00
CPCG06F30/20G06N20/00
Inventor 王晓军王晓艳袁平
Owner DALIAN UNIV