Towards Fault-Tolerant Strategy in Satellite Attitude Control Systems: A Review
Spacecrafts are known to be very complex engineering systems where many technological devices enter in interaction to guarantee the overall mission objectives. Regardless of those sophisticated manufacturing systems, faults/failures are inevitable during the satellite lifetime. This paper aims at discussing the state-of-the-art approaches proposed to guarantee the satellites’ attitude control system (ACS) performances when its components suffer from faults. The goal is to highlight their limits to address the specific challenges related to ACS. To localize and identify the potential faults, fault detection and diagnosis (FDD) methodologies are used in an earlier stage before the adaptation of the controller. The so-called fault-tolerant control (FTC) schemes have proven their capabilities during the last decade; nevertheless, those schemes still face some challenges that reduce their optimal performance in the aerospace industry. The contribution of this paper is to highlight the motivations and challenges of FTC/FDD methodologies when used to design spacecraft attitude controllers in the case of actuators and sensors anomalous behavior and to propose hints to address them.
How to Cite
Fault detection and diagnosis (FDD), fault tolerant control (FTC), attitude control system (ACS), robust control, optimization.
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.