2007 European Control Conference (ECC) 2007
DOI: 10.23919/ecc.2007.7068717
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An actuator fault detection, isolation and estimation system for an UAV using input observers

Abstract: In this paper we present a fault detection, isolation and estimation method dedicated to actuator failures for an Unmanned Aerial Vehicle (UAV). The method is based on the use of Unknown Input Decoupled Functional Observers (UIDFO) and allows to deal with constant and variable failures. In extension of [1], observer design parameters are discussed.

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Cited by 8 publications
(3 citation statements)
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“…Consequently, the aircraft safety accidents caused by actuator faults have also increased dramatically all over the world, having negative impacts on human and environmental systems. Therefore, research into fault-tolerant control (FTC) technology for mUAV has become critical for improving the safety and reliability of mUAV [3]- [6].…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, the aircraft safety accidents caused by actuator faults have also increased dramatically all over the world, having negative impacts on human and environmental systems. Therefore, research into fault-tolerant control (FTC) technology for mUAV has become critical for improving the safety and reliability of mUAV [3]- [6].…”
Section: Introductionmentioning
confidence: 99%
“…In [6], a linear input decoupled functional observer is proposed to estimate actuators failures of UAV. The proposed method is based on the linearization of the model around an operating point.…”
Section: Introductionmentioning
confidence: 99%
“…For the use of observers in faults diagnosis, we can mention for exemple Sharma and Aldeen [2007], in which two cascaded sliding mode observers are proposed first to estimate the disturbances (effect of wind) and second to reconstruct actuators faults. In Bateman et al [2007], a linear input decoupled functional observer is proposed to estimate actuators failures of UAV. The proposed method is based on the linearization of the model around an operating point.…”
Section: Introductionmentioning
confidence: 99%