Mass property identification - A comparison study between extended Kalman filter and neuro-filter approachesTwo algorithms, extended Kalman filter and neuro-filter, are formulated to perform mass property identification for the Space Station Freedom. Control moment gyros that are part of the Station's basic momentum management system are chosen to provide input excitation in the form of applied torques. These torques together with the measured angular body rate responses are supplied to the filters. From these data, both algorithms are shown to accurately identify the station mass properties when excitation levels are high and balanced between axes. The neuro-filter, however, is shown to be more robust and to perform well even with weakly persistent, unbalanced signals contaminated with noise.
Document ID
19910065160
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Lam, Quang (Grumman Aerospace Corp. Reston, VA, United States)
Chipman, Richard (Grumman Corp. Space Station Program Support Div., Reston, VA, United States)
Sunkel, John (NASA Johnson Space Center Houston, TX, United States)