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 proceedingConference 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 languageEnglish
Title of host publicationSpaceflight Mechanics 2010 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the AAS/AIAA Space Flight Mechanics Meeting
Pages675-694
Number of pages20
Publication statusPublished - 2010 Dec 1
EventAAS/AIAA Space Flight Mechanics Meeting - San Diego, CA, United States
Duration: 2010 Feb 142010 Feb 17

Publication series

NameAdvances in the Astronautical Sciences
Volume136
ISSN (Print)0065-3438

Other

OtherAAS/AIAA Space Flight Mechanics Meeting
CountryUnited States
CitySan Diego, CA
Period10/2/1410/2/17

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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    Abdelrahman, M., Kim, S. W., & Park, S. Y. (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 (pp. 675-694). (Advances in the Astronautical Sciences; Vol. 136).