A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network
The intelligent satellite, iSAT, is a concept based on software-defined satellites. Earth observation is one of the important applications of intelligent satellites. With the increasing demand for rapid satellite response and observation tasks, intelligent satellite in-orbit task planning has become...
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Format: | Article |
Language: | English |
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MDPI AG
2019-11-01
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Series: | Symmetry |
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Online Access: | https://www.mdpi.com/2073-8994/11/11/1373 |
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author | Sikai Liu Jun Yang |
author_facet | Sikai Liu Jun Yang |
author_sort | Sikai Liu |
collection | DOAJ |
description | The intelligent satellite, iSAT, is a concept based on software-defined satellites. Earth observation is one of the important applications of intelligent satellites. With the increasing demand for rapid satellite response and observation tasks, intelligent satellite in-orbit task planning has become an inevitable trend. In this paper, a mixed integer programming model for observation tasks is established, and a heuristic search algorithm based on a symmetric recurrent neural network is proposed. The configurable probability of the observation task is obtained by constructing a structural symmetric recurrent neural network, and finally, the optimal task planning scheme is obtained. The experimental results are compared with several typical heuristic search algorithms, which have certain advantages, and the validity of the paper is verified. Finally, future application prospects of the method are discussed. |
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id | doaj.art-b751ed5a16184df0a1479563b28a5fd4 |
institution | Directory Open Access Journal |
issn | 2073-8994 |
language | English |
last_indexed | 2024-04-14T06:41:19Z |
publishDate | 2019-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Symmetry |
spelling | doaj.art-b751ed5a16184df0a1479563b28a5fd42022-12-22T02:07:20ZengMDPI AGSymmetry2073-89942019-11-011111137310.3390/sym11111373sym11111373A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural NetworkSikai Liu0Jun Yang1College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThe intelligent satellite, iSAT, is a concept based on software-defined satellites. Earth observation is one of the important applications of intelligent satellites. With the increasing demand for rapid satellite response and observation tasks, intelligent satellite in-orbit task planning has become an inevitable trend. In this paper, a mixed integer programming model for observation tasks is established, and a heuristic search algorithm based on a symmetric recurrent neural network is proposed. The configurable probability of the observation task is obtained by constructing a structural symmetric recurrent neural network, and finally, the optimal task planning scheme is obtained. The experimental results are compared with several typical heuristic search algorithms, which have certain advantages, and the validity of the paper is verified. Finally, future application prospects of the method are discussed.https://www.mdpi.com/2073-8994/11/11/1373in-orbit observationtask planningrecurrent neural networkheuristic algorithm |
spellingShingle | Sikai Liu Jun Yang A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network Symmetry in-orbit observation task planning recurrent neural network heuristic algorithm |
title | A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network |
title_full | A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network |
title_fullStr | A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network |
title_full_unstemmed | A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network |
title_short | A Satellite Task Planning Algorithm Based on a Symmetric Recurrent Neural Network |
title_sort | satellite task planning algorithm based on a symmetric recurrent neural network |
topic | in-orbit observation task planning recurrent neural network heuristic algorithm |
url | https://www.mdpi.com/2073-8994/11/11/1373 |
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