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Journal Articles

Aerospace Control Systems

Spacecraft GNC Systems Engineering

 

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Journal Articles

M. E. Pittelkau and W. G. McKinley, "Optical Transfer Functions, Weighting Functions, and Metrics for Images with Two-Dimensional Line-of-Sight Motion", Optical Engineering, SPIE, Volume 55, Issue 6, June 2016. 18 pages.
DOI: http://dx.doi.org/10.1117/1.OE.55.6.063108
Abstract

"Cascaded and Decoupled RIMU Calibration Filters", Journal of the Astronautical Sciences, Vol. 54, Nos. 3 & 4, July–December 2006, pp. 449-466. (Special Edition for the Malcolm D. Shuster Astronautics Symposium)
Abstract

"Calibration and Attitude Determination with Redundant Inertial Measurement Units", AIAA Journal of Guidance, Control, and Dynamics, Vol. 28, No. 4, July–August 2005, pp. 743–752.
Abstract

"An Analysis of the Quaternion Attitude Determination Filter", Journal of the Astronautical Sciences, Vol. 51, No. 1, 2003, pp. 103–120.
Abstract

"Rotation Vector in Attitude Estimation", AIAA Journal of Guidance, Control, and Dynamics, Vol. 26, No. 6, 2003, pp. 855–860.
Abstract

"Composite Estimate of Spacecraft Sensor Alignment Calibrations", AIAA Journal of Guidance, Control, and Dynamics, Vol. 26, No. 2, Mar–Apr 2003, pp. 371–374.
Abstract

"Everything is Relative in System Alignment Calibration", AIAA Journal of Spacecraft and Rockets, Vol. 39, No. 3, May–June 2002, pp. 460–466.
Abstract

"Kalman Filtering for Spacecraft System Alignment Calibration", AIAA Journal of Guidance, Control, and Dynamics, Vol. 24, No. 6, Nov–Dec 2001, pp. 1187–1195.
Abstract

"Optimal Periodic Control for Spacecraft Pointing and Attitude Determination", AIAA Journal Guidance, Control, and Dynamics, Vol. 16, No. 6, Nov–Dec 1993, pp. 1078–1084.
Abstract

A calibration filter is developed for redundant inertial measurement units (RIMUs), which are IMUs that have more than three sense axes. It is shown that for a Kalman filter based on an attitude measurement model and an attitude kinematics model in the "model replacement mode", a linear combination of the calibration parameters is not observable and therefore cannot be estimated. This observability problem is not related to dynamic observability, which requires calibration maneuvers. A null-space measurement equation, together with the attitude measurement and kinematics models, provides complete observability so that all calibration parameters can be estimated. Estimator performance without and with the null-space measurement update is demonstrated via simulation results.