Navigation and Control of Autonomous Marine Vehicles
Published on 28. May 2019
Book
Hardback
352 pages
978-1-78561-338-8 (ISBN)
Description
Robotic marine vessels can be used for a wide range of purposes, including defence, marine science, offshore energy and hydrographic surveys, and environmental surveys and protection. Such vessels need to meet a variety of criteria: they must be able to operate in salt water, and to communicate and be controlled over large distances, even when submerged or in inclement weather. Further challenges include 3D navigation of individual vehicles, groups or squadrons.
This book covers the current state of research in navigation, modelling and control of marine autonomous vehicles, and deals with various related topics, including collision avoidance, communication, and a range of applications. It provides valuable insights for an audience of researchers, academics and postgraduate students interested in autonomous marine vessels, robotics, and electrical and automobile engineering.
This book covers the current state of research in navigation, modelling and control of marine autonomous vehicles, and deals with various related topics, including collision avoidance, communication, and a range of applications. It provides valuable insights for an audience of researchers, academics and postgraduate students interested in autonomous marine vessels, robotics, and electrical and automobile engineering.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 242 mm
Width: 164 mm
Thickness: 25 mm
Weight
682 gr
ISBN-13
978-1-78561-338-8 (9781785613388)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Sanjay Sharma is an Associate Professor (Reader) in Intelligent Autonomous Control Systems, and Head of Autonomous Marine Systems (AMS) research group at Plymouth University, UK. His research focuses on the use of AI techniques; particularly for wave energy devices, robotics, automobiles and uninhabited marine vehicles for both surface and underwater operations. In addition, he serves as a member of the IMechE Mechatronics, Informatics & Control Group Board, is an IMechE representative to UKACC, and a member of IFAC TC 7.5 on Intelligent Autonomous Vehicles.
Bidyadhar Subudhi is a Professor in the Department of Electrical Engineering at the National Institute of Technology Rourkela, India. He is the Co-ordinator of Control and Automation Research Group and Centre of Excellence on Renewable Energy Systems. His research interests include Robust and Adaptive Control, Control of Autonomous Underwater and Flexible Robots, Renewable Power and Microgrid Control. He is a member of Technical Committee on Intelligent Control, IEEE Control System Society. He is a Fellow of IET(UK), Institution of Engineers (India) and a Senior Member of IEEE.
Bidyadhar Subudhi is a Professor in the Department of Electrical Engineering at the National Institute of Technology Rourkela, India. He is the Co-ordinator of Control and Automation Research Group and Centre of Excellence on Renewable Energy Systems. His research interests include Robust and Adaptive Control, Control of Autonomous Underwater and Flexible Robots, Renewable Power and Microgrid Control. He is a member of Technical Committee on Intelligent Control, IEEE Control System Society. He is a Fellow of IET(UK), Institution of Engineers (India) and a Senior Member of IEEE.
Content
Chapter 1: Modelling and control of autonomous marine vehicles
Chapter 2: Efficient optimal path planning of unmanned surface vehicles
Chapter 3: Collision avoidance of maritime vessels
Chapter 4: Sliding mode control for path planning guidance of marine vehicles
Chapter 5: Experimentally based analysis of low altitude terrain following by autonomous underwater vehicles
Chapter 6: Nonlinear H? control of autonomous underwater vehicles
Chapter 7: Energy optimal real-time trajectory re-planning of an uninhabited surface vehicle in a dynamically changing environment
Chapter 8: Cooperative path-following control with logic-based communications: theory and practice
Chapter 9: Formation control of autonomous marine vehicles
Chapter 10: Hydro-acoustic communications and networking in contemporary underwater robotics: instruments and case studies
Chapter 11: Commercial applications of ASVs
Chapter 2: Efficient optimal path planning of unmanned surface vehicles
Chapter 3: Collision avoidance of maritime vessels
Chapter 4: Sliding mode control for path planning guidance of marine vehicles
Chapter 5: Experimentally based analysis of low altitude terrain following by autonomous underwater vehicles
Chapter 6: Nonlinear H? control of autonomous underwater vehicles
Chapter 7: Energy optimal real-time trajectory re-planning of an uninhabited surface vehicle in a dynamically changing environment
Chapter 8: Cooperative path-following control with logic-based communications: theory and practice
Chapter 9: Formation control of autonomous marine vehicles
Chapter 10: Hydro-acoustic communications and networking in contemporary underwater robotics: instruments and case studies
Chapter 11: Commercial applications of ASVs