Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation

In this paper, Proper net is proposed to construct variable cycle engine’s analytical redundancy, when all control variables and environmental variables change simultaneously, also accompanied with the whole engine’s degradation. In another word, Proper net is proposed to solve a multivariable, stro...

Full description

Saved in:
Bibliographic Details
Main Authors: Zihao Zhang, Xianghua Huang, Tianhong Zhang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2021/9959264
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832547039016124416
author Zihao Zhang
Xianghua Huang
Tianhong Zhang
author_facet Zihao Zhang
Xianghua Huang
Tianhong Zhang
author_sort Zihao Zhang
collection DOAJ
description In this paper, Proper net is proposed to construct variable cycle engine’s analytical redundancy, when all control variables and environmental variables change simultaneously, also accompanied with the whole engine’s degradation. In another word, Proper net is proposed to solve a multivariable, strongly nonlinear, dynamic, and time-varying problem. In order to make the topological structure of Proper net physically explainable, Proper net’s topological structure is designed according to physical relationship between variables, by which means analytical redundancy based on Proper net achieves higher accuracy with less calculation time. Experiments were compared with performance of analytical redundancy based on Proper net, seven convolutional neural network topological structures, and five shallow learning methods. Results demonstrate that under condition of average relative error less than 1.5%, Proper net is the most accurate and the least time-consuming one, which proves not only the effectiveness of Proper net but also the feasibility of topological structures’ design method based on physical relationship.
format Article
id doaj-art-c848a41f152441eca1a969eb7eb89320
institution Kabale University
issn 1687-5966
1687-5974
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-c848a41f152441eca1a969eb7eb893202025-02-03T06:46:22ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742021-01-01202110.1155/2021/99592649959264Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s DegradationZihao Zhang0Xianghua Huang1Tianhong Zhang2Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing 210016, ChinaNanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing 210016, ChinaNanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing 210016, ChinaIn this paper, Proper net is proposed to construct variable cycle engine’s analytical redundancy, when all control variables and environmental variables change simultaneously, also accompanied with the whole engine’s degradation. In another word, Proper net is proposed to solve a multivariable, strongly nonlinear, dynamic, and time-varying problem. In order to make the topological structure of Proper net physically explainable, Proper net’s topological structure is designed according to physical relationship between variables, by which means analytical redundancy based on Proper net achieves higher accuracy with less calculation time. Experiments were compared with performance of analytical redundancy based on Proper net, seven convolutional neural network topological structures, and five shallow learning methods. Results demonstrate that under condition of average relative error less than 1.5%, Proper net is the most accurate and the least time-consuming one, which proves not only the effectiveness of Proper net but also the feasibility of topological structures’ design method based on physical relationship.http://dx.doi.org/10.1155/2021/9959264
spellingShingle Zihao Zhang
Xianghua Huang
Tianhong Zhang
Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
International Journal of Aerospace Engineering
title Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
title_full Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
title_fullStr Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
title_full_unstemmed Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
title_short Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
title_sort analytical redundancy of variable cycle engine based on proper net considering multiple input variables and the whole engine s degradation
url http://dx.doi.org/10.1155/2021/9959264
work_keys_str_mv AT zihaozhang analyticalredundancyofvariablecycleenginebasedonpropernetconsideringmultipleinputvariablesandthewholeenginesdegradation
AT xianghuahuang analyticalredundancyofvariablecycleenginebasedonpropernetconsideringmultipleinputvariablesandthewholeenginesdegradation
AT tianhongzhang analyticalredundancyofvariablecycleenginebasedonpropernetconsideringmultipleinputvariablesandthewholeenginesdegradation