Learning control for slewing of a flexible panelThis paper studies the applicability of a discrete-time learning control method to the slewing control of a large flexible panel. Among the issues discussed are feasibility of the desired trajectories and their specification schemes, learning control by linear feedback, limitation of the actuator device output, and robustness to parameter changes or modeling errors associated with the chosen learning control design. To demonstrate the effectiveness of learning control, the system is designed with a proportional controller of the base angle only. Then application of the learning control is shown to make the system learn quickly to achieve the desired slewing without residual vibration at the end of the maneuver. Simulation results are reported and discussed.
Document ID
19910039105
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Phan, M. (Columbia Univ. New York, NY, United States)
Longman, R. W. (Columbia University New York, United States)
Wei, Y. (Old Dominion University Norfolk, VA, United States)
Horta, L. G. (Columbia Univ. New York, NY, United States)
Juang, J.-N. (NASA Langley Research Center Hampton, VA, United States)