Spacecraft attitude control via a combined State-Dependent Riccati Equation and adaptive neuro-fuzzy approach

Mohammad Abdelrahman; Sung Woo Kim; Sang Young Park

Spacecraft attitude control via a combined State-Dependent Riccati Equation and adaptive neuro-fuzzy approach

Mohammad Abdelrahman, Sung Woo Kim, Sang Young Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented through a combination of two control techniques. The basic control scheme is developed using a Modified State-Dependent Riccati Equation MSDRE based on a pseudo-linear formulation of spacecraft augmented dynamics and kinematics. 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. 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.

Original language	English
Title of host publication	Spaceflight Mechanics 2010 - Advances in the Astronautical Sciences
Subtitle of host publication	Proceedings of the AAS/AIAA Space Flight Mechanics Meeting
Pages	675-694
Number of pages	20
Publication status	Published - 2010
Event	AAS/AIAA Space Flight Mechanics Meeting - San Diego, CA, United States Duration: 2010 Feb 14 → 2010 Feb 17

Publication series

Name	Advances in the Astronautical Sciences
Volume	136
ISSN (Print)	0065-3438

Other

Other	AAS/AIAA Space Flight Mechanics Meeting
Country/Territory	United States
City	San Diego, CA
Period	10/2/14 → 10/2/17

Bibliographical note

Funding Information:
This work is supported by the Korean Science and Engineering Foundation (KOSEF) through the National Research Laboratory Program funded by the Ministry of Science and Technology (No. M10600000282-06j0000-28210 ).

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Space and Planetary Science

Cite this

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title = "Spacecraft attitude control via a combined State-Dependent Riccati Equation and adaptive neuro-fuzzy approach",

abstract = "A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented through a combination of two control techniques. The basic control scheme is developed using a Modified State-Dependent Riccati Equation MSDRE based on a pseudo-linear formulation of spacecraft augmented dynamics and kinematics. 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. 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.",

author = "Mohammad Abdelrahman and Kim, {Sung Woo} and Park, {Sang Young}",

note = "Funding Information: This work is supported by the Korean Science and Engineering Foundation (KOSEF) through the National Research Laboratory Program funded by the Ministry of Science and Technology (No. M10600000282-06j0000-28210 ).; AAS/AIAA Space Flight Mechanics Meeting ; Conference date: 14-02-2010 Through 17-02-2010",

year = "2010",

language = "English",

isbn = "9780877035602",

series = "Advances in the Astronautical Sciences",

pages = "675--694",

booktitle = "Spaceflight Mechanics 2010 - Advances in the Astronautical Sciences",

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Abdelrahman, M, Kim, SW & Park, SY 2010, Spacecraft attitude control via a combined State-Dependent Riccati Equation and adaptive neuro-fuzzy approach. in Spaceflight Mechanics 2010 - Advances in the Astronautical Sciences: Proceedings of the AAS/AIAA Space Flight Mechanics Meeting. Advances in the Astronautical Sciences, vol. 136, pp. 675-694, AAS/AIAA Space Flight Mechanics Meeting, San Diego, CA, United States, 10/2/14.

Spacecraft attitude control via a combined State-Dependent Riccati Equation and adaptive neuro-fuzzy approach. / Abdelrahman, Mohammad; Kim, Sung Woo; Park, Sang Young.
Spaceflight Mechanics 2010 - Advances in the Astronautical Sciences: Proceedings of the AAS/AIAA Space Flight Mechanics Meeting. 2010. p. 675-694 (Advances in the Astronautical Sciences; Vol. 136).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kim, Sung Woo

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N1 - Funding Information: This work is supported by the Korean Science and Engineering Foundation (KOSEF) through the National Research Laboratory Program funded by the Ministry of Science and Technology (No. M10600000282-06j0000-28210 ).

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N2 - A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented through a combination of two control techniques. The basic control scheme is developed using a Modified State-Dependent Riccati Equation MSDRE based on a pseudo-linear formulation of spacecraft augmented dynamics and kinematics. 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. 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.

AB - A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented through a combination of two control techniques. The basic control scheme is developed using a Modified State-Dependent Riccati Equation MSDRE based on a pseudo-linear formulation of spacecraft augmented dynamics and kinematics. 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. 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.

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Spacecraft attitude control via a combined State-Dependent Riccati Equation and adaptive neuro-fuzzy approach

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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