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

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)

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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.

Item Type: Article (Journal)
Additional Information: 6540/8584
Uncontrolled Keywords: Adaptive neuro-fuzzy inference system; Combined control; Computational burden; Control schemes; Control signal; Control techniques; Global asymptotic stability; Lyapunov theorems; Neuro-fuzzy approach; Neuro-fuzzy controller; Non-linear controllers; Optimal controls; Spacecraft attitude; Spacecraft attitude control; State-dependent Riccati equation; Time interval; Tracking accuracy Engineering controlled terms: Asymptotic stability; Attitude control; Controllers; Fuzzy inference; Fuzzy systems; Mechanics; Nonlinear equations; Riccati equations; Space flight; Spacecraft
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL787 Astronautics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Mohammad Abdelrahman
Date Deposited: 09 Dec 2011 13:43
Last Modified: 14 May 2014 15:58
URI: http://irep.iium.edu.my/id/eprint/8584

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