Aircraft navigation based on differentiation–integration observer

In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the...

Full description

Bibliographic Details
Main Authors: Wang, Xinhua, Cai, Lilong
Format: Article
Published: Elsevier Masson 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/43395/
_version_ 1848796678220414976
author Wang, Xinhua
Cai, Lilong
author_facet Wang, Xinhua
Cai, Lilong
author_sort Wang, Xinhua
building Nottingham Research Data Repository
collection Online Access
description In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory.
first_indexed 2025-11-14T19:51:48Z
format Article
id nottingham-43395
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:51:48Z
publishDate 2017
publisher Elsevier Masson
recordtype eprints
repository_type Digital Repository
spelling nottingham-433952020-05-04T19:10:10Z https://eprints.nottingham.ac.uk/43395/ Aircraft navigation based on differentiation–integration observer Wang, Xinhua Cai, Lilong In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. Elsevier Masson 2017-09-30 Article PeerReviewed Wang, Xinhua and Cai, Lilong (2017) Aircraft navigation based on differentiation–integration observer. Aerospace Science and Technology, 68 . pp. 109-122. ISSN 1270-9638 Differentiation–integration observer Multiple integrals Derivatives Quadrotor aircraft http://www.sciencedirect.com/science/article/pii/S127096381730192X doi:10.1016/j.ast.2017.05.007 doi:10.1016/j.ast.2017.05.007
spellingShingle Differentiation–integration observer
Multiple integrals
Derivatives
Quadrotor aircraft
Wang, Xinhua
Cai, Lilong
Aircraft navigation based on differentiation–integration observer
title Aircraft navigation based on differentiation–integration observer
title_full Aircraft navigation based on differentiation–integration observer
title_fullStr Aircraft navigation based on differentiation–integration observer
title_full_unstemmed Aircraft navigation based on differentiation–integration observer
title_short Aircraft navigation based on differentiation–integration observer
title_sort aircraft navigation based on differentiation–integration observer
topic Differentiation–integration observer
Multiple integrals
Derivatives
Quadrotor aircraft
url https://eprints.nottingham.ac.uk/43395/
https://eprints.nottingham.ac.uk/43395/
https://eprints.nottingham.ac.uk/43395/