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Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft

This paper firstly, presents an autopilot strategy for a Hypersonic Transport Aircraft (HST) using a Stability Augmentation System (SAS) with a Luenberger estimator. The SAS is designed using Linear Quadratic Regulator (LQR) theory which, for HST, benefits the guaranteed robust dynamic stability pro...

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Main Author: Zaludin, Zairil A.
Format: Article
Published: The Research Publication 2022
Online Access:http://psasir.upm.edu.my/id/eprint/103173/
https://armejournal.org/index.php/arme/article/view/3346
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spelling my.upm.eprints.1031732024-06-28T09:36:23Z http://psasir.upm.edu.my/id/eprint/103173/ Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft Zaludin, Zairil A. This paper firstly, presents an autopilot strategy for a Hypersonic Transport Aircraft (HST) using a Stability Augmentation System (SAS) with a Luenberger estimator. The SAS is designed using Linear Quadratic Regulator (LQR) theory which, for HST, benefits the guaranteed robust dynamic stability provided three theoretical requirements are met. The Luenberger estimator is incorporated into the autopilot design to estimate the state variables of the aircraft for the SAS. In the dynamic response simulation, sensor and process noises are inserted into the mathematical model. However, to date, knowledge of the sensor and process noises at the speeds and heights where the aircraft will be flying is limited. The simulation shows that the Luenberger estimator significantly filters the noise. This is an advantage for the HST as prior knowledge of the noises is not necessary when designing the Luenberger estimator. The Research Publication 2022 Article PeerReviewed Zaludin, Zairil A. (2022) Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft. Asian Review of Mechanical Engineering, 11 (1). pp. 40-52. ISSN 2249-6289 https://armejournal.org/index.php/arme/article/view/3346 10.51983/arme-2022.11.1.3346
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This paper firstly, presents an autopilot strategy for a Hypersonic Transport Aircraft (HST) using a Stability Augmentation System (SAS) with a Luenberger estimator. The SAS is designed using Linear Quadratic Regulator (LQR) theory which, for HST, benefits the guaranteed robust dynamic stability provided three theoretical requirements are met. The Luenberger estimator is incorporated into the autopilot design to estimate the state variables of the aircraft for the SAS. In the dynamic response simulation, sensor and process noises are inserted into the mathematical model. However, to date, knowledge of the sensor and process noises at the speeds and heights where the aircraft will be flying is limited. The simulation shows that the Luenberger estimator significantly filters the noise. This is an advantage for the HST as prior knowledge of the noises is not necessary when designing the Luenberger estimator.
format Article
author Zaludin, Zairil A.
spellingShingle Zaludin, Zairil A.
Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft
author_facet Zaludin, Zairil A.
author_sort Zaludin, Zairil A.
title Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft
title_short Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft
title_full Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft
title_fullStr Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft
title_full_unstemmed Sensor and process noises reduction using a Luenberger state estimator with a stability augmentation system for a Hypersonic Transport Aircraft
title_sort sensor and process noises reduction using a luenberger state estimator with a stability augmentation system for a hypersonic transport aircraft
publisher The Research Publication
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/103173/
https://armejournal.org/index.php/arme/article/view/3346
_version_ 1803336815887777792
score 13.211869

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