A faulty sensor may lead to degraded system performance, unstable system, or even a fatal accident. On the other hand, the increasing need for safety and reliability has motivated the development of fault-tolerant control (FTC) techniques. This paper proposes a robust fault-tolerant gain-scheduled noisy output-feedback controller (GSNOF) that guarantees system stability and performance in the presence of sensor aging under control input constraints, where the sensor performance degradation due to aging is modeled by its measurement noisy covariance. The closed-loop system stability and performance, in terms of numerical complexity, computation time, and ℋ2 performance, are studied. The proposed controller is compared in simulations with the published results, which shows that the proposed controller is capable of guaranteeing the stability, performance with reduced numerical complexity and computation load under gradual sensor performance degradation, and it is feasible for real-time control.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5191-3
PROCEEDINGS PAPER
Guarantee Performance ICC-LPV Control With Sensor Aging
Aqeel Madhag,
Aqeel Madhag
Michigan State University, East Lansing, MI
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Guoming George Zhu
Guoming George Zhu
Michigan State University, East Lansing, MI
Search for other works by this author on:
Aqeel Madhag
Michigan State University, East Lansing, MI
Guoming George Zhu
Michigan State University, East Lansing, MI
Paper No:
DSCC2018-8992, V003T40A005; 8 pages
Published Online:
November 12, 2018
Citation
Madhag, A, & Zhu, GG. "Guarantee Performance ICC-LPV Control With Sensor Aging." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Atlanta, Georgia, USA. September 30–October 3, 2018. V003T40A005. ASME. https://doi.org/10.1115/DSCC2018-8992
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