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基于自适应相关向量机模型的轨姿控发动机试验推力矢量预测

陈文丽 马军强 杨思锋 田国华 李志刚

测试技术学报2017,Vol.31Issue(2):114-119,6.
测试技术学报2017,Vol.31Issue(2):114-119,6.DOI:10.3969/j.issn.1671-7449.2017.02.004

基于自适应相关向量机模型的轨姿控发动机试验推力矢量预测

ARVM-Based Prediction of Thrust Vector in Orbit and Attitude Engine Test

陈文丽 1马军强 1杨思锋 1田国华 1李志刚1

作者信息

  • 1. 航天推进技术研究院北京航天试验技术研究所,北京100074
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摘要

Abstract

In order to predict the variation trend of thrust vector in orbit and attitude engine test,a new prediction algorithm mode,which is named Adaptive Relevance Vector Machine (ARVM),was proposed and set up based on the analysis of SVM algorithm.This ARVM mode was applied to the thrust vector prediction in a certain type of orbit and attitude engine test.The research results indicate that ARVM mode has superiority in the sparsity and precision of algorithm,and ARVM can predict the variation trend of thrust vector in orbit and attitude engine test.

关键词

自适应相关向量机/支持向量机/轨姿控发动机试验/推力矢量

Key words

ARVM/SVM/orbit and attitude engine/thrust vector

分类

航空航天

引用本文复制引用

陈文丽,马军强,杨思锋,田国华,李志刚..基于自适应相关向量机模型的轨姿控发动机试验推力矢量预测[J].测试技术学报,2017,31(2):114-119,6.

测试技术学报

OACSTPCD

1671-7449

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