Development and Performance Validation of a Navigation System for an Underwater Vehicle. (26th January 2016)

• Record Type: Journal Article
• Authors: Ramesh, R.; Jyothi, V. Bala Naga; Vedachalam, N.; Ramadass, G.A.; Atmanand, M.A.
• Is Part Of: Journal of navigation. Volume 69:Number 5(2016)
• Page Start: 1097
• Page End: 1113
• Publication Date: 2016-01-26
• Subjects: Emulator, -- Doppler Velocity Log, -- Position estimation, -- Remotely Operated Vehicle; Navigation -- Periodicals; 623.8905
• DOI: 10.1017/S0373463315001058
• Languages: English
• ISSNs: 0373-4633

Abstract

Abstract : Underwater position data is a key requirement for the navigation and control of unmanned underwater vehicles. The proposed navigation scheme can be used in any vessel or boat for any shallow water vehicle. This paper presents the position estimation algorithm developed for shallow water Remotely Operated Vehicles (ROVs) using attitude data and Doppler Velocity Log data with the initial position from the Global Positioning System (GPS). The navigational sensors are identified using the in-house developed simulation tool in MATLAB, based on the requirement of a position accuracy of less than 5%. The navigation system is built using the identified sensors, Kalman filter and navigation algorithm, developed in LabVIEW software. The developed system is tested and validated for position estimation, with an emulator consisting of a GPS-aided fibre optic gyro-based inertial navigation system as a reference, and it is found that the developed navigation system has a position error of less than 5%.