Interpretation function of dynamic of an underwater vehicle in non-stationary environment

2021 ◽  
pp. 171-176
Author(s):  
Ю.И. Нечаев ◽  
Д.В. Никущенко

Рассматривается построение и анализ функций интерпретации моделей нестационарной динамики подводных объектов (ПО) новых поколений на основе функциональных пространств современной теории катастроф (СТК) [1] – [7]. Формальный аппарат концептуальных решений и принципов построения функций интерпретации реализован в нестационарной динамической среде в рамках принципа конкуренции. Процедуры функций интерпретации основаны на использовании различных моделей взаимодействия в зависимости от уровня действующих возмущений. Неопределенность и неполнота исходной информации в динамике взаимодействия ПО в нестационарной среде, определили подход к построению функций интерпретации при построении математического описания задач нестационарной динамики ПО на основе концепции мягких вычислений (Soft Computing) [7] и выявления «скрытых» знаний (Data Mining) [1]. Разработанные модели и алгоритмы интерпретации нестационарной динамики ПО реализованы в функциональном блоке моделирования многофункционального программного комплекса (МПК) динамической визуализации нестационарной динамики ПО в режиме экстренных вычислений (Urgent Computing – UC [6]. The construction and analysis of the interpretation functions of the models of unsteady dynamics of new generation an underwater vehicle (UV) based on the modern theory of disasters (STK) [1] - [7] are considered. The formal apparatus of conceptual solutions and principles of constructing interpretation functions is implemented in a non-stationary dynamic environment within the framework of the principle of competition. The procedures of the interpretation functions are based on the use of various interaction models depending on the level of acting disturbances. The uncertainty and incompleteness of the initial information on the dynamics of the interaction of underwater vehicles in a non-stationary environment determined the approach to constructing interpretation functions when constructing a mathematical description of the problems of non-stationary dynamics of underwater vehicles based on the concept of soft computing (Soft Computing) [7] and the identification of “hidden” knowledge (Data Mining) [1]. The developed models and algorithms for interpreting unsteady dynamics of submarines are implemented in the functional block for modeling a multifunctional software complex (MPC) for dynamic visualization of unsteady dynamics of underwater vehicles in emergency computing mode Urgent Computing [6].

Author(s):  
Partha Dey ◽  
Joe Bible ◽  
Swati Dey ◽  
Somnath Datta

Feature selection is considered as an important preprocessing step to data mining and soft computing, whereas regression is a collection of methods to optimally assess the signal from a noisy output. Both seek to arrive at the dependence and relation between different attributes and a target material property. In the present chapter a flock of regression and feature selection techniques are discussed, and the kind of results that can be obtained with each of them has been illustrated with the help of a dataset on steel. The different methods are capable of abstracting data in different forms, thus revealing hidden knowledge from different perspectives. Choosing the most appropriate method depends on the application at hand and the kind of objective that one is looking for.


Author(s):  
Mohammad Saghafi ◽  
Roham Lavimi

In this research, the flow around the autonomous underwater vehicles with symmetrical bodies is numerically investigated. Increasing the drag force in autonomous underwater vehicles increases the energy consumption and decreases the duration of underwater exploration and operations. Therefore, the main objective of this research is to decrease drag force with the change in geometry to reduce energy consumption. In this study, the decreasing or increasing trends of the drag force of axisymmetric bare hulls have been studied by making alterations in the curve equations and creating the optimal geometric shapes in terms of hydrodynamics for the noses and tails of autonomous underwater vehicles. The incompressible, three-dimensional, and steady Navier–Stokes equations have been used to simulate the flow. Also, k-ε Realizable with enhanced wall treatment was used for turbulence modeling. Validation results were acceptable with respect to the 3.6% and 1.4% difference with numerical and experimental results. The results showed that all the autonomous underwater vehicle hulls designed in this study, at an attack angle of 0°, had a lower drag force than the autonomous underwater vehicle hull used for validation except geometry no. 1. In addition, nose no. 3 has been selected as the best nose according to the lowest value of stagnation pressure, and also tail no. 3 has been chosen as the best tail due to the production of the lowest vortex. Therefore, geometry no. 5 has been designed using nose and tail no. 3. The comparison made here showed that the maximum drag reduction in geometry no. 5 was equal to 26%, and therefore, it has been selected as the best bare hull in terms of hydrodynamics.


2018 ◽  
Vol 212 (1) ◽  
pp. 105-123
Author(s):  
Tomasz Praczyk ◽  
Piotr Szymak ◽  
Krzysztof Naus ◽  
Leszek Pietrukaniec ◽  
Stanisław Hożyń

Abstract The paper presents the first part of the final report on all the experiments with biomimetic autono-mous underwater vehicle (BAUV) performed within the confines of the project entitled ‘Autonomous underwater vehicles with silent undulating propulsion for underwater ISR’, financed by Polish National Center of Research and Development. The report includes experiments in the swimming pool as well as in real conditions, that is, both in a lake and in the sea. The tests presented in this part of the final report were focused on low-level control.


2018 ◽  
Vol 213 (2) ◽  
pp. 53-67 ◽  
Author(s):  
Tomasz Praczyk ◽  
Piotr Szymak ◽  
Krzysztof Naus ◽  
Leszek Pietrukaniec ◽  
Stanisław Hożyń

Abstract The paper presents the second part of the final report on all the experiments with biomimetic autonomous underwater vehicle (BAUV) performed within the confines of the project entitled ‘Autonomous underwater vehicles with silent undulating propulsion for underwater ISR’, financed by Polish National Center of Research and Development. The report includes experiments on the swimming pool as well as in real conditions, that is, both in a lake and in the sea. The tests presented in this part of the final report were focused on navigation and autonomous operation.


2021 ◽  
Author(s):  
ZhongRen Zhang ◽  
FengBao Xu ◽  
PeiJun Li ◽  
XinBao Wang ◽  
FuXiang Liu ◽  
...  

Abstract As terrestrial resources gradually cannot meet people's needs, Countries around the world gradually increase the development and utilization of marine resources. The emergence of marine ranching overcomes many disadvantages of traditional fishery, but there is still a distance from unattended intelligent marine ranch. In this paper, designed a kind of unattended modular underwater robot system which used in marine ranch, including the main body for cage monitoring, the robot module for cleaning and repairing of net clothes and recycling of dead fish, while designed a underwater interfacing apparatus for the main body and root module,This paper introduces the underwater vehicles system of marine ranching, and designs the main body and working module in detail. This paper simply describes the interfacing process of the underwater workstation with the main body and modules.The research results of this paper compensate for the gaps in marine ranch engineering equipment and technology, and meantime proposed an underwater vehicle for cage repairing and dead fish recycling, which uses modular ideas, it can reduces costs and this paper strongly promotes the development of intelligence and automation level of marine ranching.


2021 ◽  
Vol 2129 (1) ◽  
pp. 012080
Author(s):  
Chinonso Okereke ◽  
Nur Haliza Abdul Wahab ◽  
Mohd Murtadha Mohamad ◽  
S H Zaleha

Abstract Water, mostly oceans, covers over two-third of the earth. About 95% of these oceans are yet to be explored which includes 99% of the sea-beds. The introduction of the Internet of Underwater Things (IoUT) underwater has become a powerful technology necessary to the quest to develop a SMART Ocean. Autonomous Underwater Vehicles (AUVs) play a crucial role in this technology because of their mobility and longer energy storage. In order for AUV technologies to be effective, the challenges of AUVs must be adequately solved. This paper provides an overview of the challenges of IoUT, the contributions of AUVs in IoUT as well as the current challenges and opening in AUV. A summary and suggestion for future work was discussed.


Sign in / Sign up

Export Citation Format

Share Document