For advanced agile attitude control of the satellite, reaction wheels are used actuated by motor. In order to ensure reliable operation, fault detection and prediction of remaining useful life (RUL) of the motor is of great importance. In this study, multi-scale Extended Kalman Filter (EKF) is employed for this purpose using the data of input current and output velocity measured in the life test of the motor. The motor dynamic behavior is modeled by the ordinary differential equations (ODEs). Characteristic behavior of the reaction wheel that degrades as the motor is used over repeated cycles is taken as the health indicator. The degradation value is defined by damping coefficient by solving the micro EKF problem using the input and output measurements at each cycle. Then, the RUL is predicted by solving the macro EKF problem based on the regression model of damping coefficient, which enables proactive action before the motor failure is encountered.
How to Cite
motor, satellite, EKF, Remaining useful life, PHM
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.