We apply model-based fault-isolation to an electromechanical linear actuator, and demonstrate its use on an unmanned underwater vehicle mass-shifter. Models incorporating the physics of the motor and of the load, and the effect of the servo-controller, are derived for nominal operations, overload faults, and coupling loss faults. A simple parameter identification method based on close-form solutions during startup and at steady-state is used, and is shown to produce good agreement with measurements. Fault-isolation is done by representing the system as a time-dependent mixture of its models, and selecting the model with the smallest error residual. We tested this in three situations – an actual overload fault, an actual coupling fault, and a false-alarm – and found that the correct model was successfully isolated in each case.
How to Cite
Autonomous systems, model-based, fault isolation, actuators
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.