Techniques 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.
Adaptive/learning control of large space structures - System identification techniques
Joint Automatic Control Conference ; 1980 ; San Francisco, CA
1980-01-01
Miscellaneous
No indication
English
Adaptive and learning control of large space structures
NTRS | 1980
|Adaptive and learning control of large space structures
AIAA | 1980
|Adaptive control for large space structures
AIAA | 1983
|System identification of large space structures
AIAA | 1980
|