Query: unmanned ship

title: Towards the unmanned ship code

title: Study on the application of water quality monitoring technology based on unmanned ship

title: Do We Know Enough About the Concept of Unmanned Ship

title: UNMANNED SHIP, UNMANNED SHIP HAVING FISHING DEVICE AND UNMANNED SHIP SYSTEM

title: Conversion Timing of Seafarer's Decision making for Unmanned Ship Navigation
abstract: The aim of this study is to construct an unmanned ship swarms monitoring model to improve autonomous decision making efficiency and safety performance of unmanned ship navigation. A framework is proposed to determine the relationship between on board decision making and shore side monitoring, the process of ship data detection, tracking, analysis and loss, and the application of decision making algorithm, to discuss the different risk responses of specific unmanned ship types under various latent hazard environments, particularly in terms of precise conversion timing in switching over to remote control and full manual monitoring, to ensure safe navigation when the capability of automatic risk response inadequate. This frame work makes it easier to train data and the adjustment for machine learning based on Bayesian risk prediction. It can be concluded that the automation level can be increased and the workload of shore based seafarers can be reduced easily. http:/www.transnav.eu the International Journal on Marine Navigation and Safety of Sea Transportation Volume 11

title: PD CONTROLLER BASED UNMANNED SHIP NAVIGATION
abstract: For the improvement of the performance of track keeping of unmanned water vehicle numerous ship models, wave disturbances models and distinct control algorithms has been proposed. Researchers are using variants of PID controllers, Adaptive controllers and Predictive controllers for accurate trajectory control. Being simpler in nature still PID controller are popular in control domain. In this paper we have implemented PD based controller for trajectory control of unmanned vehicle considering all standard models of sea disturbances. Analysis of result obtained using PD control proved that path tracking is more accurate than open loop controller in terms of computation time, complexity and fuel consumption.

title: Two novel robust nonlinear finite time control schemes for unmanned ship course system
abstract: This paper investigates the finite time trajectory tracking problem for the nonlinear dynamics of ship heading system in the presence of external disturbances and model uncertainties. In fact, based on the second order nonsingular terminal sliding mode control, two novel classes of robust nonlinear controllers (rudder angles) are designed to precisely reach the ship course to the desired trajectory in the specified finite times. Moreover, two new formulas (in the form of two nonlinear inequalities) are derived to estimate these convergence finite times. Furthermore, two theorems and their proofs are presented to demonstrate the global finite time stability of the uncertain closed loop ship heading system forced by each class of proposed controllers. Finally, two computer based numerical simulations are provided to depict the applicability and the good performance of two suggested controllers.

title: Concept of 'Sail by Wire' controller for a ship's propulsion system from an unmanned ship perspective
abstract: The intention of this paper is to present the idea of total ship control called the Supervisory 'Sail by Wire' Control System. As a part of it, there is an optimal controller of the ship's propulsion plant presented in this paper. The paper focuses on the integration of four control subsystems of ships: navigation, propulsion, auxiliary and deck machinery systems, hull structures and cargo handling equipment. Such a controller can be build also on the base of conventional, fuzzy, or neural principles. Critical situations are detected, warned in advance is given about them, and they are reported to the ship's operator. The analytical results and recommendations as well as real vessel conditions will be recorded and post processed. The intelligent integration of acquired data from subsystems will ensure that the control commands and actions compromise the multi effects of a vessel's dynamics and operation. While performing accurate regulation and governing functions, this control system should have the capability of identifying and compensating failures during the ship's operation. The 'Sail by Wire' Supervisory Controller delivers a comprehensive study and a new idea to common European strategies and decisions for tracking issues in shipping in critical situations.

title: Monitoring of compliance with fuel sulfur content regulations through unmanned aerial vehicle (UAV) measurements of ship emissions
abstract: Air pollution from ship exhaust gas can be reduced by the establishment of emission control areas (ECAs) Efficient supervision of ship emissions is currently a major concern of maritime authorities. In this study, a measurement system for exhaust gas from ships based on an unmanned aerial vehicle (UAV) was designed and developed. Sensors were mounted on the UAV to measure the concentrations of SO2 and CO2 in order to calculate the fuel sulfur content (FSC) of ships. The Waigaoqiao port in the Yangtze River Delta, an ECA in China, was selected for monitoring compliance with FSC regulations. Unlike in situ or airborne measurements, the proposed measurement system could be used to determine the smoke plume at about 5 m from the funnel mouth of ships, thus providing a means for estimating the FSC of ships. In order to verify the accuracy of these measurements, fuel samples were collected at the same time and sent to the laboratory for chemical examination, and these two types of measurements were compared. After 23 comparative experiments, the results showed that, in general, the deviation of the estimated value for FSC was less than 0.03 (m/m) at an FSC level ranging from 0.035 (m/m) to 0.24 (m/m) Hence, UAV measurements can be used for monitoring of ECAs for compliance with FSC regulations.

title: Unmanned ship monitoring system based on cloud network
abstract: The invention belongs to the field of an unmanned ship and discloses an unmanned ship monitoring system based on a cloud network. The unmanned ship monitoring system comprises a local monitoring station, a cloud server and a cloud terminal monitoring station. The local monitoring station comprises a local communication unit, a local display unit and a local control unit. The cloud server comprises a cloud receiving unit, a cloud storage unit and a cloud sending unit. The cloud terminal monitoring station comprises a terminal communication unit, a terminal display unit and a terminal control unit. The system can realize functions of local monitoring and control, data information cloud storage and cloud sharing and remote cloud terminal monitoring and control and the like of the unmanned ship, and can realize information interaction between a remote cloud terminal and the unmanned ship through cloud storage and cloud sharing of unmanned ship navigation status data, environment data and control commands.