Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft

Cunis, Torbjørn; Leth, Tobias; Totu, Luminita Cristiana; Cour-Harbo, Anders la

doi:10.1109/icuas.2018.8453340

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…-High lift and, consequently, low minimum speed needed for take-off and touchdown during landing; -High static stability [12], which results in easier uniform flight and, in the later stage of unmanned aerial vehicle development, a more stable image seen by, for example, cameras or sensors; -Resistance to falling into corkscrews and stalling, and, in the event of such an occurrence, the possibility of a quick and safe exit from the situation so that it is relatively easy to use [13].…”

Section: Methodsmentioning

confidence: 99%

A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

Lis

Januszko

Dobrocinski³

2021

Applied Sciences

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The purpose of this article is to present and discuss the results of a non-standard unnamed aerial vehicle construction with a constant cross-section square-shaped avionic profile. Based on the model’s in-air observed maneuverability, the research of avionic construction behavior was carried out in a water tunnel. The results show the model’s specific lift capabilities in comparison to classical avionic constructions. The characteristic results of the lift coefficient showed that the unmanned aerial vehicle presents favorable features than classic avionic constructions. The model was created with the prospect of using it in the future for dual-use purposes, where unmanned aerial vehicles are currently experiencing very rapid development. When creating the prototype, the focus was on low production cost, as well as convenience in operation. The development of this type of breakthrough avionic solution, which shows extraordinary maneuverability, may contribute to increasing the popularity and, above all, the availability of unmanned aerial vehicles for the largest possible group of recipients because of high avionic properties in relation to the technical construction complexity.

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Section: Methodsmentioning

confidence: 99%

A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

Lis

Januszko

Dobrocinski³

2021

Applied Sciences

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“…Without propulsion, the aircraft descends in steady-state in order to convert potential into kinetic energy and * ∆ > 0. However, (14) is not positive definite on Z; the loss of altitude becomes negative (i.e., the aircraft ascends) for any positive inclination γ. To ensure that the dissipativity condition in Theorem 2 holds we add quadratic regularization terms to the stage cost:…”

Section: Controller Designmentioning

confidence: 99%

“…The EMPC framework, see, e.g., [13] for an overview, allows for direct minimization of the LOA. We consider a 1.6 kg fixed-wing unmanned aircraft capable of stable deep-stall descent [14,15], which allows us to isolate the longitudinal aerodynamics.…”

Section: Introductionmentioning

confidence: 99%

Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees^⋆

Cunis

Liao‐McPherson

Condomines

et al. 2019

2019 IEEE 58th Conference on Decision and Control (CDC)

Self Cite

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Aircraft upset recovery requires aggressive control actions to handle highly nonlinear aircraft dynamics and critical state and input constraints. Model predictive control is a promising approach for returning the aircraft to the nominal flight envelope, even in the presence of altered dynamics or actuator limits; however, proving stability of such strategies requires careful algebraic or semi-algebraic analysis of both the system and the proposed control scheme, which can be challenging for realistic control systems. This paper develops economic model predictive strategies for recovery of a fixed-wing aircraft from deep-stall. We provide rigorous stability proofs using sum-of-squares programming and compare several economic, nonlinear, and linear model predictive controllers.

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Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design

Bouhali,

Pasquariello,

Mhenni

et al. 2024

Systems Engineering

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Mechatronic systems become ever more complex because of their increasing number of interconnected safety critical components and sophistication. MBSE (Model‐based Systems Engineering) and MBSA (Model‐Based Safety Assessment) are the most commonly adopted approaches to deal with the design and safety analysis of mechatronic systems. Unfortunately, both approaches are normally adopted separately, especially in the earlier phases of system design, thus leading to a lack of communication between system engineers and the safety team. This work aims to fill that gap at a high level, that is, through process interaction. This paper proposes an enhanced V‐model for the design of safety‐critical mechatronic systems. It relates a system development process with specific safety assessment methods. Specifically, the proposed workflow details exchange flows between the RFLP (Requirements, Functional, Logical, Physical) method, the FHA (Functional Hazard Analysis), the FMEA (Failure Mode and Effects Analysis), the MBSA and simulation, and the FTA (Fault Tree Analysis). These analyses are complemented with multiphysics modeling and simulation to observe system behavior in functional and failure scenarios, with the aim of requirements verification. The design workflow has been applied to a winged Unmanned Aerial Vehicle to apply the parallel process and the necessary interaction of MBSE and MBSA approaches. The information flows between the individual activities proved effective for designing a safe system before the verification phase. The main benefit of the proposed workflow is providing both the design and safety team with some interaction points, thus avoiding a lack of safety‐critical analysis in the early phases of system design.

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Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft

Cited by 4 publications

References 15 publications

A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees^⋆

Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design

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Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft

Cited by 4 publications

References 15 publications

A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees⋆

Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design

Contact Info

Product

Resources

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Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees^⋆