Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement
Reexamination Certificate
2006-09-19
2006-09-19
Hoff, Marc S. (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system
Statistical measurement
C701S013000
Reexamination Certificate
active
07110915
ABSTRACT:
The present invention is a method for identifying unknown parameters in a system having a set of governing equations describing its behavior that cannot be put into regression form with the unknown parameters linearly represented. In this method, the vector of unknown parameters is segmented into a plurality of groups where each individual group of unknown parameters may be isolated linearly by manipulation of said equations. Multiple concurrent and independent recursive least squares identification of each said group run, treating other unknown parameters appearing in their regression equation as if they were known perfectly, with said values provided by recursive least squares estimation from the other groups, thereby enabling the use of fast, compact, efficient linear algorithms to solve problems that would otherwise require nonlinear solution approaches. This invention is presented with application to identification of mass and thruster properties for a thruster-controlled spacecraft.
REFERENCES:
patent: 4623106 (1986-11-01), Price et al.
patent: 5562266 (1996-10-01), Achkar et al.
patent: 6278908 (2001-08-01), Durham
patent: 6295021 (2001-09-01), Lichten et al.
patent: 6340138 (2002-01-01), Barsky et al.
patent: 6411871 (2002-06-01), Lin
Wilson et al., “On-line, gyro-based, mass-property identification for thruster-controlled spacecraft using recursive least squares”, Aug. 2002, Circuits and Systems, 2002. MWSCAS-2002, vol. 2, pp. 334-337.
Wilson et al., “Gyro-based maximum-likelihood thruster fault detection and identification”, May 2002, American Control Conference, 2002, vol. 6, pp. 4525-4530.
Peck, “Estimation of Inertia Parameters for Gyrostats Subject to Gravity-Gradient Torques”, Jul. 30-Aug. 2, 2001, AAS/AIAA Astrodynamics Specialist Conference, Paper AAS 01-308, pp. 1-21.
Peck, “Mass-Properties Estimation for Spacecraft with Powerful Damping”, Aug. 16-19, 1999, AAS/AIAA Astrodynamics Specialist Conference, Paper AAS 99-430, pp. 1-21.
Baran Mary Catherine
Hoff Marc S.
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