Estimasi Koefisien Hidrodinamika Menggunakan Unscented Kalman Filter Dan Recursive Least Square

Ismail, Rachmat Wahyudi (2019) Estimasi Koefisien Hidrodinamika Menggunakan Unscented Kalman Filter Dan Recursive Least Square. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Manuver kapal adalah kemampuan kapal dalam berbelok, berputar saat beroperasi pada laut atau perairan yang tenang. Koefisien Hidrodinamika kapal merupakan parameter yang berpengaruh terhadap model matematika gerak kapal, dengan kata lain semakin akurat dalam penentuan Koefisien Hidrodinamika kapal semakin sesuai juga Model Matematika gerak kapal yang didapat dengan karakteristik kapal sesungguhnya. Penelitian ini bertujuan untuk mengestimasi Koefisien Hidrodinamika model gerak kapal empat DOF. Metode yang digunakan adalah Unscented Kalman Filter dan Recursive Least Square dengan data dari Free Running Model Test. Metode Unscented Kalman Filter digunakan untuk mengestimasi model nonlinier, hasil dari Metode Unscented Kalman Filter digunakan sebagai inputan Metode Recursive Least Square untuk mencari nilai Koefisien Hidrodinamika. Hasil dari penelitian ini menunjukkan bahwa RMSE hasil estimasi berkisar antara 0.04 hingga 4 skala. =================================================================================================================================
Ship maneuvering is the ability of ships to turn, spinning while operating on calm seas or waters. The ship's hydrodynamic coefficient is a parameter that influences the mathematical model of ship motion, in other words the more accurate the determination of the ship's hydrodynamic coefficient is the more suitable the mathematical model of ship motion is obtained by the characteristics of the actual vessel. This study aims to estimate the Hydrodynamic Coefficient of four DOF ship motion models. The method used is Unscented Kalman Filter and Recursive Least Square with data from Free Running Model Test. The Unscented Kalman Filter method is used to estimate the nonlinear model, the results of the Unscented Kalman Filter method are used as input method Recursive Least Square to find the Hydrodynamic Coefficient value. The results of this study indicate that the estimated RMSE results range from 0.04 to 4 scales.

Item Type: Thesis (Other)
Additional Information: RSMa 519.2 Ism e-1 2019
Uncontrolled Keywords: Hydrodynamic Coefficient, Free Running Model test, Unscented Kalman Filter, Recursive Least Square
Subjects: Q Science > QA Mathematics > QA274.7 Markov processes--Mathematical models.
Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Q Science > QA Mathematics > QA402.3 Kalman filtering.
Divisions: Faculty of Mathematics, Computation, and Data Science > Mathematics > 44201-(S1) Undergraduate Thesis
Depositing User: Rachmat Wahyudi Ismail
Date Deposited: 18 Oct 2023 02:25
Last Modified: 18 Oct 2023 02:25
URI: http://repository.its.ac.id/id/eprint/65121

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