Feed forward adaptive learning based tracking of spacecraft attitude

Ahmed Z. Al-Garni, Muhammad Shafiq, Ayman Kassem, Rihan Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a design methodology for the tracking of Spacecraft attitude. The plant (spacecraft model) is a second order nonlinear multi-input-multi-output system. We stabilize the plant using state feedback. The stability of the closed-loop is assured using a Lyapunov function. Then the step response of the closed-loop system is used to design PID controller using standard classical techniques. Then adaptive feed-forward learning based adaptive filter is used for accomplishment of the tracking objective. The stabilizing controller is independent of the plant parameters. Further, we do not require plant parameters for the tracking. The parameters of adaptive inverse are directly estimated online. The over-all closed-loop gives robust performance as the controller design depends on the output of the plant and not on the parameters of the plant. Computer simulation results are given to illustrate the effectiveness of the proposed controller.

Original languageEnglish
Title of host publication2007 Mediterranean Conference on Control and Automation, MED
DOIs
Publication statusPublished - 2007
Event2007 Mediterranean Conference on Control and Automation, MED - Athens, Greece
Duration: Jul 27 2007Jul 29 2007

Other

Other2007 Mediterranean Conference on Control and Automation, MED
CountryGreece
CityAthens
Period7/27/077/29/07

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Al-Garni, A. Z., Shafiq, M., Kassem, A., & Ahmed, R. (2007). Feed forward adaptive learning based tracking of spacecraft attitude. In 2007 Mediterranean Conference on Control and Automation, MED [4433799] https://doi.org/10.1109/MED.2007.4433799