Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31298| Title: | Development of a second-order sliding innovation filter for an aerospace system |
| Authors: | Gadsden SA Al-Shabi M Wilkerson SA |
| Department: | Mechanical Engineering |
| Keywords: | 4007 Control Engineering, Mechatronics and Robotics;40 Engineering;4001 Aerospace Engineering;4010 Engineering Practice and Education |
| Publication Date: | 12-Apr-2021 |
| Publisher: | SPIE, the international society for optics and photonics |
| 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. |
| URI: | http://hdl.handle.net/11375/31298 |
| metadata.dc.identifier.doi: | https://doi.org/10.1117/12.2587334 |
| ISSN: | 0277-786X 1996-756X |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 107-117550T.pdf | Published version | 724.49 kB | Adobe PDF | View/Open |
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