Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach

Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach

A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented though a combination of two control techniques. Based on the augmentation of spacecraft dynamics and kinematics, a pseudo-linear formulation is derived and used for the development of the basic controller. The bas...

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Main Authors: Abdelrahman, Mohammad, Park, Sang-Young
Format: Article
Language:English
Published: Elsevier Masson SAS 2011
Subjects:
TL787 Astronautics
Online Access:http://irep.iium.edu.my/8584/
http://irep.iium.edu.my/8584/
http://irep.iium.edu.my/8584/4/AST_Revised_2_.pdf
id iium-8584
recordtype eprints
spelling iium-85842014-05-14T07:58:58Z http://irep.iium.edu.my/8584/ Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach Abdelrahman, Mohammad Park, Sang-Young TL787 Astronautics A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented though a combination of two control techniques. Based on the augmentation of spacecraft dynamics and kinematics, a pseudo-linear formulation is derived and used for the development of the basic controller. The basic controller follows a Modified State–Dependent Riccati Equation MSDRE scheme. A neuro-fuzzy controller is designed using an Adaptive Neuro-Fuzzy Inference System ANFIS utilizing the off-line solutions of the MSDRE. The combined control scheme is applied according to large time intervals of the MSDRE solutions to obtain the optimal control torques while along each time interval the ANFIS controller provides the required control signal. The global asymptotic stability of the MSDRE and MSDRE/ANFIS is investigated using Lyapunov theorem and verified by Monte-Carlo simulations. The results show a considerable amount of reduction in the computational burden while the tracking accuracy is dependent on the size of the time interval to update the ANFIS controller. Elsevier Masson SAS 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/8584/4/AST_Revised_2_.pdf Abdelrahman, Mohammad and Park, Sang-Young (2011) Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach. Aerospace Science and Technology. ISSN 1270-9638 (In Press) http://www.journals.elsevier.com/aerospace-science-and-technology/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TL787 Astronautics
spellingShingle TL787 Astronautics
Abdelrahman, Mohammad
Park, Sang-Young
Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach
description A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented though a combination of two control techniques. Based on the augmentation of spacecraft dynamics and kinematics, a pseudo-linear formulation is derived and used for the development of the basic controller. The basic controller follows a Modified State–Dependent Riccati Equation MSDRE scheme. A neuro-fuzzy controller is designed using an Adaptive Neuro-Fuzzy Inference System ANFIS utilizing the off-line solutions of the MSDRE. The combined control scheme is applied according to large time intervals of the MSDRE solutions to obtain the optimal control torques while along each time interval the ANFIS controller provides the required control signal. The global asymptotic stability of the MSDRE and MSDRE/ANFIS is investigated using Lyapunov theorem and verified by Monte-Carlo simulations. The results show a considerable amount of reduction in the computational burden while the tracking accuracy is dependent on the size of the time interval to update the ANFIS controller.
format Article
author Abdelrahman, Mohammad
Park, Sang-Young
author_facet Abdelrahman, Mohammad
Park, Sang-Young
author_sort Abdelrahman, Mohammad
title Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach
title_short Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach
title_full Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach
title_fullStr Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach
title_full_unstemmed Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach
title_sort spacecraft attitude control via a combined state-dependent riccati equation and adaptive neuro-fuzzy approach
publisher Elsevier Masson SAS
publishDate 2011
url http://irep.iium.edu.my/8584/
http://irep.iium.edu.my/8584/
http://irep.iium.edu.my/8584/4/AST_Revised_2_.pdf
first_indexed 2023-09-18T20:18:20Z
last_indexed 2023-09-18T20:18:20Z
_version_ 1777407938002944000

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