Autonomous underwater vehicle retrieval manoeuvre using artificial intelligent strategy

C. S. Tan; R. Sutton; S. Ahmad; J. Chudley

doi:10.1016/S1474-6670(17)36671-5

Autonomous underwater vehicle retrieval manoeuvre using artificial intelligent strategy

C. S. Tan
, R. Sutton
, S. Ahmad
, J. Chudley

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper focuses on the application of employing fuzzy logic technique in an autonomous underwater vehicle (AUV) docking manoeuvre involving a moving platform. The core of the paper delves on the implementation of an enhanced fuzzy logic controller for the docking of an AUV in a simulated environment. The implemented fuzzy logic inference system (F1S) functions by mapping the individual fuzzy areas or cells (AUV positions) into a format that contains critical information regarding AUV speed and heading requirements such that the AUV could be recursively driven to the docking station.

Original language	English
Pages (from-to)	139-144
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	36
Issue number	4
DOIs	https://doi.org/10.1016/S1474-6670(17)36671-5
State	Published - 2003
Externally published	Yes
Event	1st IFAC Workshop on Guidance and Control of Underwater Vehicles, GCUV 2003 - Newport, United Kingdom Duration: 9 Apr 2003 → 11 Apr 2003

Bibliographical note

Publisher Copyright:
Copyright © 2003 IFAC.

Keywords

Artificial intelligence
Docking
Fuzzy logic
High level control

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1016/S1474-6670(17)36671-5

Cite this

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title = "Autonomous underwater vehicle retrieval manoeuvre using artificial intelligent strategy",

abstract = "This paper focuses on the application of employing fuzzy logic technique in an autonomous underwater vehicle (AUV) docking manoeuvre involving a moving platform. The core of the paper delves on the implementation of an enhanced fuzzy logic controller for the docking of an AUV in a simulated environment. The implemented fuzzy logic inference system (F1S) functions by mapping the individual fuzzy areas or cells (AUV positions) into a format that contains critical information regarding AUV speed and heading requirements such that the AUV could be recursively driven to the docking station.",

keywords = "Artificial intelligence, Docking, Fuzzy logic, High level control",

author = "Tan, \{C. S.\} and R. Sutton and S. Ahmad and J. Chudley",

note = "Publisher Copyright: Copyright {\textcopyright} 2003 IFAC.; 1st IFAC Workshop on Guidance and Control of Underwater Vehicles, GCUV 2003 ; Conference date: 09-04-2003 Through 11-04-2003",

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TY - JOUR

T1 - Autonomous underwater vehicle retrieval manoeuvre using artificial intelligent strategy

AU - Tan, C. S.

AU - Sutton, R.

AU - Ahmad, S.

AU - Chudley, J.

PY - 2003

Y1 - 2003

N2 - This paper focuses on the application of employing fuzzy logic technique in an autonomous underwater vehicle (AUV) docking manoeuvre involving a moving platform. The core of the paper delves on the implementation of an enhanced fuzzy logic controller for the docking of an AUV in a simulated environment. The implemented fuzzy logic inference system (F1S) functions by mapping the individual fuzzy areas or cells (AUV positions) into a format that contains critical information regarding AUV speed and heading requirements such that the AUV could be recursively driven to the docking station.

AB - This paper focuses on the application of employing fuzzy logic technique in an autonomous underwater vehicle (AUV) docking manoeuvre involving a moving platform. The core of the paper delves on the implementation of an enhanced fuzzy logic controller for the docking of an AUV in a simulated environment. The implemented fuzzy logic inference system (F1S) functions by mapping the individual fuzzy areas or cells (AUV positions) into a format that contains critical information regarding AUV speed and heading requirements such that the AUV could be recursively driven to the docking station.

KW - Artificial intelligence

KW - Docking

KW - Fuzzy logic

KW - High level control

UR - https://www.scopus.com/pages/publications/85064561959

U2 - 10.1016/S1474-6670(17)36671-5

DO - 10.1016/S1474-6670(17)36671-5

M3 - Conference article

AN - SCOPUS:85064561959

SN - 2405-8971

VL - 36

SP - 139

EP - 144

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 4

T2 - 1st IFAC Workshop on Guidance and Control of Underwater Vehicles, GCUV 2003

Y2 - 9 April 2003 through 11 April 2003

ER -

Autonomous underwater vehicle retrieval manoeuvre using artificial intelligent strategy

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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