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International Journal of Robust and Nonlinear Control
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Fault diagnosis and fault‐tolerant control in aerospace systems

Authors: C. Edwards; S. Simani;

Fault diagnosis and fault‐tolerant control in aerospace systems

Abstract

Modern technological and safety‐critical systems rely on sophisticated control solutions to meet increased performance demands in faulty conditions and in terms of reliability and safety requirements. A conventional feedback control design for a complex system may give unsatisfactory performance or even instability, in the event of malfunctions in actuators, sensors, or other system components. To overcome this limitation, new approaches to control system design have been developed in order to tolerate component malfunctions while maintaining desirable stability and performance properties. This feature is particularly important for safety‐critical systems, such as aircraft and spacecraft. In such plants, the consequences of a minor (abrupt or incipient) fault in a system component can be catastrophic. Therefore, the demand on reliability, safety, availability, and fault tolerance is generally high. It is necessary to design control strategies that are capable of tolerating potential faults in order to improve reliability, safety, and availability while providing desirable performances. These types of control systems are known as fault‐tolerant control systems. In more detail, they consist of control systems possessing the ability to accommodate component faults automatically. They are also capable of maintaining overall system stability and acceptable performance in the event of such faults. In other words, a closed‐loop control system that can tolerate component malfunctions, while maintaining desirable performance and stability properties is considered to be a fault‐tolerant control system.

Country
Italy
Related Organizations
Keywords

Fault detection, Linear matrix inequalities, Fault reconstruction

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
bronze