Algorithms for Robust Identification and Control of Large Space Structures. Phase 1.
Final rept. Aug 87-Mar 88,
BUSINESS AND TECHNOLOGICAL SYSTEMS INC LAUREL MD
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A new method of providing robust attitude control for tracking and slewing maneuvers for large flexible space structures in orbit is developed, and preliminary analyses and performance studies are conducted. The key elements of the method are system identification inreal time, based on canonical variate analysis, and adaptive robust control using Model Predictive Control. The Canonical Variate Analysis method also possesses the built-in capability for performing statistically optimal model order reduction. Computational algorithms are developed using several low order flexible models. The results of this Phase I SBIR feasibility effort demonstrate that the new method is subject to careful design to reduce computer core size problems, but that its overall performance offers encouraging potential for more complete development. Keywords Mathematical models, Computations. KR