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Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
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Author | Madhag, Aqeel Zhu, Guoming George |
Copyright Year | 2018 |
Abstract | 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 â„‹2 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. |
Sponsorship | Dynamic Systems and Control Division |
File Format | |
ISBN | 9780791851913 |
DOI | 10.1115/DSCC2018-8992 |
Volume Number | 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 |
Conference Proceedings | ASME 2018 Dynamic Systems and Control Conference |
Language | English |
Publisher Date | 2018-09-30 |
Publisher Place | Atlanta, Georgia, USA |
Access Restriction | Subscribed |
Subject Keyword | Stability Control equipment Stress Simulation Computation Feedback Real-time control Sensors Engineering simulation Safety Closed loop systems Reliability Accidents |
Content Type | Text |
Resource Type | Article |
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