2011 IEEE/AIAA 30th Digital Avionics Systems Conference 2011
DOI: 10.1109/dasc.2011.6096251
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Using formal methods to verify safe deep stall landing of a MAV

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Cited by 4 publications
(4 citation statements)
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“…In [22] linear-quadratic regulator trees are presented as a way of controlling a UAV in deep-stall landing, with implementation, flight tests and promising results. In [23] the navigation part of the deep-stall landing and the safety aspect are considered. In [24] a nonlinear model predictive controller for real-time autolanding in deep-stall of a UAV is described, built on the work presented in [25].…”
Section: Introductionmentioning
confidence: 99%
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“…In [22] linear-quadratic regulator trees are presented as a way of controlling a UAV in deep-stall landing, with implementation, flight tests and promising results. In [23] the navigation part of the deep-stall landing and the safety aspect are considered. In [24] a nonlinear model predictive controller for real-time autolanding in deep-stall of a UAV is described, built on the work presented in [25].…”
Section: Introductionmentioning
confidence: 99%
“…At low α, the drag, lift and pitch moment of the UAV can be described as linear functions of α. In stall conditions, however, the drag, lift and pitch moments are higly nonlinear functions of the angle of attack, and linear models are not sufficient [44], [23]. Therefore, for transition into stall, linearization around trim values are not useful and the full nonlinear prediction model is used.…”
Section: Introductionmentioning
confidence: 99%
“…The UAV can have high flight path angle with low speed by maintaining this trim condition. A similar research on the deep stall landing using Micro Aerial Vehicles (MAV) suggests a criterion on landing or recovery decision [11]. However, these previous researches are only applicable to small size vehicles and cannot make zero velocity at a desired position.…”
Section: Introductionmentioning
confidence: 99%
“…Aerodynamic coefficient of NACA4415 at high angle of attack is approximated by sigmoid function σ(α) as a mixing function from experimental data. Similar to research [11], equation in (1) is used as sigmoid function where α 0 stands for the cut-off angle of attack and M represents the transition rate. Graph of σ(α) at α 0 =20 o and M=20 is shown in Fig.…”
Section: Aerodynamic Modelingmentioning
confidence: 99%