Fault Detection in Inertial Measurement Unit and Global Navigation Satellite System of an Unmanned surface vehicle-Reference-Cited by-同舟云学术

Fault Detection in Inertial Measurement Unit and Global Navigation Satellite System of an Unmanned surface vehicle

Published:2022-11-27 Issue: Volume: Page:
ISSN:
Container-title:2022 22nd International Conference on Control, Automation and Systems (ICCAS)
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Author:

Song Gyeongsub¹,Ko Nak Yong²,Choi Hyun Taek³,Sur Joono⁴

Affiliation:

1. Chosun University,Interdisciplinary Program in IT-Bio Convergence Systems,Department of Control and Instrumentation Engineering,Gwangju,Korea,61452

2. Chosun University,Interdisciplinary Program in IT-Bio Convergence Systems,Department of Electronic Engineering,Gwangju,Korea,61452

3. Korea Research Institute of Ships and Ocean Engineering,Autonomous & Intelligent Maritime Systems Research Division,Daejeon,Korea,34103

4. PM, Research Institute for Advanced Defense Science and Technologies,Agency for Defense Development,Daejeon,Korea,34186

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10003266/10003667/10003835.pdf?arnumber=10003835

Reference11 articles.

1. IMU Sensor Fault Diagnosis and Estimation for Quadrotor UAVs

2. Observer and IMU-based detection and isolation of faults in position reference systems and gyrocompasses with dual redundancy in dynamic positioning

3. Performance comparison of representative model-based fault reconstruction algorithms for aircraft sensor fault detection and diagnosis

4. A Particle Filtering Approach for Fault Detection and Isolation of UAV IMU Sensors: Design, Implementation and Sensitivity Analysis

5. Autonomous integrity monitoring for vehicular navigation with cellular signals of opportunity and an IMU;maaref;IEEE Transactions on Intelligent Transportation Systems,2021