Adaptive Fault Detection and Isolation for DC Motor Input and Sensors

Nikita Kolesnik, Alexey Margun, Artem Kremlev, Andrei Zhivitskii

2022

Abstract

The paper is devoted to the development of an adaptive approach to the fault detection and isolation of input and sensor failures of armature-controlled direct current motors. The proposed detection method is based on the full state Luenberger observer. Isolation scheme uses the directional residual set and relationships between fault directions and residual vector. Adaptability is provided by dynamic regressor extension and mixing approach for online estimation of parameters. Proposed scheme allows to isolate following faults: unaccounted load acting on the rotor, input voltage disturbance, failures of velocity and current sensors. Simulation results confirm performance of the proposed approach.

Paper Citation

in Harvard Style

Kolesnik N., Margun A., Kremlev A. and Zhivitskii A. (2022). Adaptive Fault Detection and Isolation for DC Motor Input and Sensors. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-585-2, pages 703-710. DOI: 10.5220/0011336700003271

in Bibtex Style

@conference{icinco22,
author={Nikita Kolesnik and Alexey Margun and Artem Kremlev and Andrei Zhivitskii},
title={Adaptive Fault Detection and Isolation for DC Motor Input and Sensors},
booktitle={Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2022},
pages={703-710},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011336700003271},
isbn={978-989-758-585-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Adaptive Fault Detection and Isolation for DC Motor Input and Sensors
SN - 978-989-758-585-2
AU - Kolesnik N.
AU - Margun A.
AU - Kremlev A.
AU - Zhivitskii A.
PY - 2022
SP - 703
EP - 710
DO - 10.5220/0011336700003271