Vehicle state and parameter estimation based on double cubature Kalman filter algorithm
نویسندگان
چکیده
Obtaining vehicle status in real-time and accurately during the driving process is of great significance for active safety control vehicle. In response to this problem, combining a 7-DOF dynamic model magic formula tire model, research designed time-sensitive robust double cubature Kalman filter (DCKF) observation algorithm. The DCKF algorithm addressed singular value decomposition optimize error covariance matrix, connected state observer information update signal realizing estimation state. verified on simulation platform, compared analyzed with virtual test CarSim data. results show that has faster speed, higher precision state, stronger performance.
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ژورنال
عنوان ژورنال: Journal of Vibroengineering
سال: 2022
ISSN: ['1392-8716', '2538-8460']
DOI: https://doi.org/10.21595/jve.2022.22356