Loading...
Please wait, while we are loading the content...
Similar Documents
The Tobit-Unscented-Kalman-Filter-Based Attitude Estimation Algorithm Using the Star Sensor and Inertial Gyro Combination.
| Content Provider | Europe PMC |
|---|---|
| Author | Wang, Xinmei Zhang, Hui Gao, Xiaodong Zhao, Rujin |
| Editor | Stiharu, Ion Mariani, Stefano |
| Copyright Year | 2023 |
| Abstract | For the orbit operation of spacecraft, due to environmental factors, a star sensor installed on the spacecraft must have data censoring, which greatly reduces the attitude determination ability of the traditional combined-attitude-determination algorithm. To address this problem, this paper proposes an algorithm for high-precision attitude estimation based on a Tobit unscented Kalman filter. This is on the basis of establishing the nonlinear state equation of the integrated star sensor and gyroscope navigation system. The measurement update process of the unscented Kalman filter is improved. The Tobit model is used to describe the gyroscope drift when the star sensor fails. The latent measurement values are calculated using the probability statistics, and the measurement error covariance expression is derived. The proposed design is verified via computer simulations. When the star sensor fails for 15 min, the accuracy of the Tobit unscented Kalman filter based on the Tobit model is improved by approximately 90% compared to the unscented Kalman filter. Based on the results, the proposed filter can effectively estimate the error caused by the gyro drift, and the method is effective and feasible, provided there is theoretical support for the engineering practice. |
| Journal | Micromachines (Basel) |
| Volume Number | 14 |
| PubMed Central reference number | PMC10305351 |
| Issue Number | 6 |
| PubMed reference number | 37374828 |
| e-ISSN | 2072666X |
| DOI | 10.3390/mi14061243 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2023-06-13 |
| Access Restriction | Open |
| Rights License | Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). © 2023 by the authors. |
| Subject Keyword | integrated navigation Tobit model TUKF |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Control and Systems Engineering Mechanical Engineering |
