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Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target

Integrated guidance and control using model predictive control against a maneuvering target is proposed. Equations of motion for terminal homing are developed with the consideration of short-period dynamics as well as actuator dynamics of a missile. The convex optimization problem is solved consider...

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Detalles Bibliográficos
Autores principales: Park, Jongho, Kim, Youngil, Kim, Jong-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313701/
https://www.ncbi.nlm.nih.gov/pubmed/32498281
http://dx.doi.org/10.3390/s20113143
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author Park, Jongho
Kim, Youngil
Kim, Jong-Han
author_facet Park, Jongho
Kim, Youngil
Kim, Jong-Han
author_sort Park, Jongho
collection PubMed
description Integrated guidance and control using model predictive control against a maneuvering target is proposed. Equations of motion for terminal homing are developed with the consideration of short-period dynamics as well as actuator dynamics of a missile. The convex optimization problem is solved considering inequality constraints that consist of acceleration and look angle limits. A discrete-time extended Kalman filter is used to estimate the position of the target with a look angle as a measurement. This is utilized to form a flight-path angle of the target, and polynomial fitting is applied for prediction. Numerical simulation including a Monte Carlo simulation is performed to verify the performance of the proposed algorithm.
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spelling pubmed-73137012020-06-29 Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target Park, Jongho Kim, Youngil Kim, Jong-Han Sensors (Basel) Article Integrated guidance and control using model predictive control against a maneuvering target is proposed. Equations of motion for terminal homing are developed with the consideration of short-period dynamics as well as actuator dynamics of a missile. The convex optimization problem is solved considering inequality constraints that consist of acceleration and look angle limits. A discrete-time extended Kalman filter is used to estimate the position of the target with a look angle as a measurement. This is utilized to form a flight-path angle of the target, and polynomial fitting is applied for prediction. Numerical simulation including a Monte Carlo simulation is performed to verify the performance of the proposed algorithm. MDPI 2020-06-02 /pmc/articles/PMC7313701/ /pubmed/32498281 http://dx.doi.org/10.3390/s20113143 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Jongho
Kim, Youngil
Kim, Jong-Han
Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target
title Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target
title_full Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target
title_fullStr Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target
title_full_unstemmed Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target
title_short Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target
title_sort integrated guidance and control using model predictive control with flight path angle prediction against pull-up maneuvering target
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313701/
https://www.ncbi.nlm.nih.gov/pubmed/32498281
http://dx.doi.org/10.3390/s20113143
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