ARTÍCULO
TITULO

Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests

Ana Catarina Costa    
Haitong Xu and Carlos Guedes Soares    

Resumen

The work presents the identification and validation of the hydrodynamic coefficients for the surge, sway, and yaw motion. This is performed in two ways: using simulated data and free-running test data. The identification and validation with the simulation data are carried out using a 25° turning test and a 20°-20° zigzag manoeuvring test. For the free-running test data, two zigzag manoeuvres are used: 30°-30° zigzag for identification and 20°-20° zigzag for validation. A nonlinear manoeuvring model is proposed based on the standard Euler equations, and the hydrodynamic coefficients are computed using empirical equations. To obtain robust results, the truncated singular value decomposition is employed to diminish the multicollinearity and the parameter uncertainties due to noise. The validation is carried out by comparing the result of the measured values with the predictions obtained using the manoeuvring models. Finally, a sensitivity analysis for the simulation data is performed to understand the influence of the parameters in the manoeuvres.

 Artículos similares

       
 
Yu Chen, Jianwan Ding, Yu Chen and Dong Yan    
The introduction of a dynamic model in robot trajectory tracking control design can significantly improve its trajectory tracking accuracy, but there are many uncertainties in the robot dynamic model which can be dealt with through robust control and ada... ver más
Revista: Applied Sciences

 
Shweta More, Moad Idrissi, Haitham Mahmoud and A. Taufiq Asyhari    
The rapid proliferation of new technologies such as Internet of Things (IoT), cloud computing, virtualization, and smart devices has led to a massive annual production of over 400 zettabytes of network traffic data. As a result, it is crucial for compani... ver más
Revista: Algorithms

 
Santiago Moreno-Carbonell and Eugenio F. Sánchez-Úbeda    
The Linear Hinges Model (LHM) is an efficient approach to flexible and robust one-dimensional curve fitting under stringent high-noise conditions. However, it was initially designed to run in a single-core processor, accessing the whole input dataset. Th... ver más
Revista: Algorithms

 
Antoine Soloy, Carlos Lopez Solano, Emma Imen Turki, Ernesto Tonatiuh Mendoza and Nicolas Lecoq    
This study delves into the morphodynamic changes of pebble beaches in response to storm events, employing a combination of observational and numerical approaches. This research focuses on three extreme events, meticulously examining morhological changes ... ver más

 
Valentina Vendittoli, Wilma Polini, Michael S. J. Walter and Stefan Geißelsöder    
Additive manufacturing has transformed the production process by enabling the construction of components in a layer-by-layer approach. This study integrates Artificial Neural Networks to explore the nuanced relationship between process parameters and mec... ver más
Revista: Applied Sciences