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Simulation of Missile Autopilot with Two-Rate Hybrid Neural Network SystemASTROV, I., TATARLY, S., TATARLY, S. |
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Author keywords
Control systems, guided missile, multi-rate, neural networks, simulation
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About this article
Date of Publication: 2007-04-02
Volume 7, Issue 1, Year 2007, On page(s): 18 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2007.01004
Web of Science Accession Number: 000259841200004
Abstract
This paper proposes a two-rate hybrid neural network system, which consists of two artificial neural network subsystems. These neural network subsystems are used as the dynamic subsystems controllers.1 This is because such neuromorphic controllers are especially suitable to control complex systems. An illustrative example - two-rate neural network hybrid control of decomposed stochastic model of a rigid guided missile over different operating conditions - was carried out using the proposed two-rate state-space decomposition technique. This example demonstrates that this research technique results in simplified low-order autonomous control subsystems with various speeds of actuation, and shows the quality of the proposed technique. The obtained results show that the control tasks for the autonomous subsystems can be solved more qualitatively than for the original system. The simulation and animation results with use of software package Simulink demonstrate that this research technique would work for real-time stochastic systems. |
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[1] Energy-adaptive resistive switching with controllable thresholds in insulator–metal transition, Huang, Tiantian, Zhang, Rui, Zhang, Lepeng, Xu, Peiran, Shao, Yunkai, Yang, Wanli, Chen, Zhimin, Chen, Xin, Dai, Ning, RSC Advances, ISSN 2046-2069, Issue 55, Volume 12, 2022.
Digital Object Identifier: 10.1039/D2RA06866D [CrossRef]
[2] An Improved Gray Similarity Degree with Adaptive Weight for Guidance Simulation Credibility Evaluation, Wang, Fei, Liang, Xiao Geng, Applied Mechanics and Materials, ISSN 1662-7482, Issue , 2013.
Digital Object Identifier: 10.4028/www.scientific.net/AMM.364.202 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
