Adaptive/learning control of large space structures - System identification techniquesTechniques developed for the control of aircraft under changing operating conditions are used to develop a learning control system structure for a multi-configuration, flexible space vehicle. A configuration identification subsystem that is to be used with a learning algorithm and a memory and control process subsystem is developed. Adaptive gain adjustments can be achieved by this learning approach without prestoring of large blocks of parameter data and without dither signal inputs which will be suppressed during operations for which they are not compatible. The Space Shuttle Solar Electric Propulsion (SEP) experiment is used as a sample problem for the testing of adaptive/learning control system algorithms.
Document ID
19810061145
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Thau, F. E. (New York, City University New York, NY, United States)
Montgomery, R. C. (NASA Langley Research Center Hampton, VA, United States)