Synthesis of random parameter identification algorithms and estimates of current vessel motion parameters

Autor: Aleksandr Yashin, Ivan Gorychev, Nikolay Ivanovskiy, Sergey Bidenko
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: E3S Web of Conferences, Vol 164, p 03004 (2020)
ISSN: 2267-1242
Popis: The paper considers the task of synthesis of algorithms for identifying random parameters of a vessel, such as attached masses, moment of inertia, and estimating the current parameters of the vessel's motion from real-time measurements of onboard sensors. The task of the synthesis of algorithms for identifying random parameters of the vessel and evaluating the characteristics of the vessel’s movement is to determine (evaluate) the current parameters (attached masses, moment of inertia) and the characteristics of the vessel’s motion (position vector, speed) from the measurements of the vessel’s motion, angular position and angular velocity of the vessel rotation).
Databáze: OpenAIRE