2013
DOI: 10.1007/s10846-013-9921-8
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Robust Fault Diagnosis for Quadrotor UAVs Using Adaptive Thau Observer

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Cited by 75 publications
(26 citation statements)
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“…For Thau Observer design, the following conditions must be satisfied: the pair (C, A) is observable and the non-linear function , must be continuously differentiable, which is locally Lipschitz with constant [10],…”
Section: Quadrotor Modelmentioning
confidence: 99%
“…For Thau Observer design, the following conditions must be satisfied: the pair (C, A) is observable and the non-linear function , must be continuously differentiable, which is locally Lipschitz with constant [10],…”
Section: Quadrotor Modelmentioning
confidence: 99%
“…Since the moments of roll and pitch are at least one order of magnitude larger than the moment of yaw, the latter has a larger error in its fault estimation. We resolved this problem by using an amplification and reduction technique [22].…”
Section: Remarkmentioning
confidence: 99%
“…Moreover, our method can handle uncertainties of magnitudes that are unknown, a priori, through an adaptive law approach. By comparing our approach to [22], we found that the adaptive algorithm is capable of compensating for the drag terms leading to clear improvements in the results.…”
Section: Introductionmentioning
confidence: 96%
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“…Avram et al proposed a nonlinear estimator-based fault detection and isolation mechanism for quadrotor [23]. In [24], a Tau observer is used to design the fault diagnosis of quadrotor UAV. In [25], the active fault-tolerant control for sensor faults is also considered.…”
Section: Introductionmentioning
confidence: 99%