129544 - Autonomous underwater vehicle model-based high-gain observer for ocean.pdf (568.26 kB)
Autonomous underwater vehicle model-based high-gain observer for ocean current estimation
conference contribution
posted on 2023-05-23, 13:48 authored by Kim, E, Fan, S, Neil BoseAutonomous Underwater Vehicles (AUVs) are being used as specialised tools for various ocean missions, and there are advantages in applying more accurate dynamic models for control. In this study, a high-gain observer (HGO) based on an AUV dynamics model is presented to estimate three dimensional water current velocities. The water current velocities were determined by calculating the differences between the vehicle’s absolute velocities and the relative velocities estimated by the model-based HGO. The HGO was chosen as a nonlinear algorithm to estimate the vehicle’s relative velocities. The Lyapunov stability of the estimation error dynamics was investigated. The observer gain was computed by solving the Linear Matrix Inequality (LMI) which represented the error dynamics. By utilising the AUV model-based HGO, the vehicle’s relative velocity was estimated, then the current velocity vector was subsequently calculated. AUV numerical simulations and field test results were used to confirm the effectiveness of the proposed HGO, and the improvements over previous solutions.
History
Publication title
Proceedings of the 2018 IEEE OES Autonomous Underwater Vehicle SymposiumPagination
1-6ISBN
9781728102535Department/School
Australian Maritime CollegePublisher
IEEEPlace of publication
United StatesEvent title
2018 IEEE OES Autonomous Underwater Vehicle SymposiumEvent Venue
Porto, PortugalDate of Event (Start Date)
2018-11-06Date of Event (End Date)
2018-11-09Rights statement
Copyright 2018 IEEERepository Status
- Restricted