Residential College | false |
Status | 已發表Published |
Position and Velocity Filters for ASC/I-AUV Tandems Based on Single Range Measurements | |
Daniel Viegas1; Pedro Batista1; Paulo Oliveira1,2; Carlos Silvestre1,3 | |
2014-06 | |
Source Publication | Journal of Intelligent and Robotic Systems |
ISSN | 0921-0296 |
Volume | 74Issue:3-4Pages:745-768 |
Abstract | This paper proposes novel cooperative navigation solutions for an Intervention Autonomous Underwater Vehicle (I-AUV) working in tandem with an Autonomous Surface Craft (ASC). The I-AUV is assumed to be moving in the presence of constant unknown ocean currents, and aims to estimate its position relying on measurements of its range to the ASC. Two different scenarios are considered: in the first scenario, the ASC transmits its position and velocity to the I-AUV, and the I-AUV has access to readings of its velocity relative to the water. In the second scenario, the ASC transmits only its position, and the I-AUV has access to measurements of its velocity relative to the ASC. In both cases, it is assumed that an Attitude and Heading Reference System (AHRS) mounted on-board the I-AUV provides measurements of its attitude and angular velocity. A sufficient condition for observability and a method for designing state observers with Globally Asymptotically Stable (GAS) error dynamics are presented for both problems. Finally, simulation results are included and discussed to assess the performance of the proposed solutions in the presence of measurement noise. |
Keyword | Cooperative Navigation Observability Of Nonlinear Systems Kalman Filtering |
DOI | 10.1007/s10846-013-9876-9 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Robotics |
WOS Subject | Computer Science, Artificial Intelligence ; Robotics |
WOS ID | WOS:000336449900013 |
Publisher | SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS |
Scopus ID | 2-s2.0-84905640402 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Daniel Viegas |
Affiliation | 1.Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal 2.Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal 3.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau |
Recommended Citation GB/T 7714 | Daniel Viegas,Pedro Batista,Paulo Oliveira,et al. Position and Velocity Filters for ASC/I-AUV Tandems Based on Single Range Measurements[J]. Journal of Intelligent and Robotic Systems, 2014, 74(3-4), 745-768. |
APA | Daniel Viegas., Pedro Batista., Paulo Oliveira., & Carlos Silvestre (2014). Position and Velocity Filters for ASC/I-AUV Tandems Based on Single Range Measurements. Journal of Intelligent and Robotic Systems, 74(3-4), 745-768. |
MLA | Daniel Viegas,et al."Position and Velocity Filters for ASC/I-AUV Tandems Based on Single Range Measurements".Journal of Intelligent and Robotic Systems 74.3-4(2014):745-768. |
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