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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Queen's University Belfast

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Output 15 of 133 in the submission

Article title

An integrated multi-sensor data fusion algorithm and autopilot iImplementation in an uninhabited surface craft

Type

D - Journal article

DOI

10.1016/j.oceaneng.2011.11.001

Title of journal

Ocean Engineering

Article number

Volume number

Issue number

First page of article

ISSN of journal

0029-8018

Year of publication

2012

URL

http://www.sciencedirect.com/science/article/pii/S0029801811002538

Number of additional authors

Additional information

As part of an EPSRC-funded project (GR/S76762/01), this collaborative research presented real-time control results on the Springer unmanned surface vehicle. The navigation, guidance and control (NGC) algorithms developed for Springer were based on soft-computing methodologies. A novel form of fuzzy-based data fusion navigation algorithm was developed and integrated with an adaptive fuzzy linear quadratic Gaussian (LQG) controller. Unlike other papers, where simulation data is mostly presented, experimental results were provided here which demonstrated the efficacy of the proposed NGC approach.

Interdisciplinary

Cross-referral requested

Research group

C - Energy, Power and Intelligent Control (EPIC)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract