Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8066174 | Ocean Engineering | 2014 | 11 Pages |
Abstract
In this paper, a high performance procedure for estimating of hydrodynamic coefficients in Autonomous Underwater Vehicles (AUV׳s) is proposed. In modeling of an AUV, experimental data should be verified and validated using appropriate techniques. Due to implementation complexity in calculating methods, computation of hydrodynamic parameters is challenging. This paper presents analytical approaches for estimating an AUV׳s hydrodynamic coefficients. Nonlinear Kalman Filter (KF) algorithms are implemented to estimate unknown augmented states (coefficients). A comparative study is conducted which shows the superior performance of Unscented Kalman Filter (UKF) in comparison with Extended Kalman Filter (EKF).
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Ocean Engineering
Authors
Mohammad Taghi Sabet, Pouria Sarhadi Pouria Sarhadi, Mostafa Zarini,