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12 April 2021 Development of a second-order sliding innovation filter for an aerospace system
S. Andrew Gadsden, Mohammad A. AlShabi, Stephen A. Wilkerson
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Proceedings Volume 11755, Sensors and Systems for Space Applications XIV; 117550T (2021) https://doi.org/10.1117/12.2587334
Event: SPIE Defense + Commercial Sensing, 2021, Online Only
Abstract
The sliding innovation filter is a new type of predictor-corrector estimation method. The strategy is used to estimate relevant states of interests and has been found to be robust to modeling uncertainties and disturbances. In this paper, a second-order formulation of the sliding innovation filter is presented to improve its estimation performance in terms of accuracy while maintaining robustness. The strategy is applied to an aerospace system that has been designed for experimentation. The results are compared with the well-known Kalman filter, and future work is considered.
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S. Andrew Gadsden, Mohammad A. AlShabi, and Stephen A. Wilkerson "Development of a second-order sliding innovation filter for an aerospace system", Proc. SPIE 11755, Sensors and Systems for Space Applications XIV, 117550T (12 April 2021); https://doi.org/10.1117/12.2587334
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KEYWORDS
Aerospace engineering
Filtering (signal processing)
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