A Simple Controller for the Transition Maneuver of a Tail-Sitter Drone

Flores, Alejandro; de, Andres Montes; Flores, Gerardo

doi:10.1109/cdc.2018.8619303

Cited by 16 publications

(11 citation statements)

References 25 publications

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“…Additionally, a variety of nonlinear control strategies based on Lyapunov's stability concepts have been designed to hybrid MAVs. 4,28 Links with the model-free control algorithm…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the autopilot system must ensure the stability and the tracking of trajectories for all these flight domains which results in a higher degree of challenge and complexity also for the guidance, navigation, and control community. Different hybrid MAV configurations such as tilt-rotors 1 or tilt-wings, 2 quadplanes, 3 and tilt-body or tailsitter 4 can be found in literature. These platforms have been designed in order to solve the aerodynamics and mechanical limitations of each of them, and the choice of the appropriated MAV configuration varies according to the imposed flight mission specifications, e.g., maximum payload, the desired endurance and range, etc.…”

Section: Introductionmentioning

confidence: 99%

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Model-free control algorithms for micro air vehicles with transitioning flight capabilities

Barth

Condomines

Bronz

et al. 2020

International Journal of Micro Air Vehicles

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Micro air vehicles with transitioning flight capabilities, or simply hybrid micro air vehicles, combine the beneficial features of fixed-wing configurations, in terms of endurance, with vertical takeoff and landing capabilities of rotorcrafts to perform five different flight phases during typical missions, such as vertical takeoff, transitioning flight, forward flight, hovering and vertical landing. This promising micro air vehicle class has a wider flight envelope than conventional micro air vehicles, which implies new challenges for both control community and aerodynamic designers. One of the major challenges of hybrid micro air vehicles is the fast variation of aerodynamic forces and moments during the transition flight phase which is difficult to model accurately. To overcome this problem, we propose a flight control architecture that estimates and counteracts in real-time these fast dynamics with an intelligent feedback controller. The proposed flight controller is designed to stabilize the hybrid micro air vehicle attitude as well as its velocity and position during all flight phases. By using model-free control algorithms, the proposed flight control architecture bypasses the need for a precise hybrid micro air vehicle model that is costly and time consuming to obtain. A comprehensive set of flight simulations covering the entire flight envelope of tailsitter micro air vehicles is presented. Finally, real-world flight tests were conducted to compare the model-free control performance to that of the Incremental Nonlinear Dynamic Inversion controller, which has been applied to a variety of aircraft providing effective flight performances.

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“…Additionally, a variety of nonlinear control strategies based on Lyapunov's stability concepts have been designed to hybrid MAVs. 4,28 Links with the model-free control algorithm…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-free control algorithms for micro air vehicles with transitioning flight capabilities

Barth

Condomines

Bronz

et al. 2020

International Journal of Micro Air Vehicles

View full text Add to dashboard Cite

show abstract

“…Furthermore, the autopilot system must ensure the stability and the tracking trajectories for the entire flight envelope considering the particularities of each flight domain and also the interactions between them which results a higher degree of challenge and complexity also for the guidance, navigation, and control community. Different hybrid MAV configurations can be found in the literature, such as tilt rotors [1] or tilt wings [2], quadplanes [3], and tilt body or tail sitter [4]. These platforms have been designed in order to solve the aerodynamic and mechanical limitations of each of them and the choice of the appropriated MAV configuration varies according to the imposed flight mission specifications.…”

Section: Introductionmentioning

confidence: 99%

Towards a Unified Model-Free Control Architecture for Tailsitter Micro Air Vehicles: Flight Simulation Analysis and Experimental Flights

Barth

Condomines

Bronz

et al. 2020

AIAA Scitech 2020 Forum

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Hybrid Micro Air Vehicles (MAVs) combine the beneficial features of rotorcrafts with fixed-wing configurations providing a complete flight envelope that includes vertical take-off, hovering, transitioning flights, forward flight and vertical landing. Tail sitter MAVs belong to a particular class of hybrid MAVs and its peculiar issue is related to the transitioning flight phase where, for high incidence angles, fast changing of aerodynamic forces and moments are observed which are difficult to model and control accurately. To overcome this issue, we propose a control architecture with model-free control algorithms that is able to stabilize the hybrid MAV's attitude, velocity, and position without any modeling process. The proposed control architecture consists basically on two steps : 1) The attitude control, in order to ensure the hybrid MAV's attitude orientation and stability during the entire flight envelope; 2) The guidance system responsible to control both velocity and position. We validate the MFC architecture according to a comprehensive set of flight simulations and real flight experiments. Real flight experiments shown an effective and promising control strategy solving the principal issue of hybrid MAVs that is the formulation of accurate hybrid MAV's dynamic equations to design control laws. The obtained results provide a straightforward way to validate the methodological principles presented in this article as well as certify the designed MFC parameters, and establish a conclusion regarding MFC benefits in both theoretical and practical contexts.

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“…Concerning mechanism for management, it is thoughtprovoking subsequently, in contradiction of the unadventurous structural design, where there are numerous control surfaces, in a fixed wing UAV we can individual control the flap glance in a symmetric or asymmetric method, dependent which stability is to be organized [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Stability of Digital Control System for Unmanned Aerial Vehicle with Numerical Analysis

Win¹,

Nyunt²,

Tun³

2020

AJAA

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The paper presents the analysis on stability of digital control system for unmanned vehicle with numerical analysis. The objective of this study is mainly emphasized on the fulfillment of the advanced control techniques according to the fundamental concepts of digital control system approaches for unmanned aerial vehicle system design. The targeted unmanned aerial vehicle system was designed based on the simple construction under the idea of fixed wing flight system approaches. The stability analyses on unmanned aerial vehicle are vital role to enhance the real world applications. The background concepts on digital control system for stability analysis on dynamic control system like unmanned aerial vehicle system. The appropriate controller design for dynamic control system of unmanned aerial vehicle is vital role to analyze the accurate stability condition for reality. The implementation of numerical analysis on compensator design has been developed by using MATLAB. The physical parameters in these analyses are based on the experimental outcomes from the recent research works in dynamical system implementations. The mathematical approaches are very helpful for numerical analysis on compensator design for the unmanned aerial vehicles schemes. The simulation results confirm that the high performance stability test on unmanned aerial vehicle system has been met with the theoretical works.

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A Simple Controller for the Transition Maneuver of a Tail-Sitter Drone

Cited by 16 publications

References 25 publications

Model-free control algorithms for micro air vehicles with transitioning flight capabilities

Model-free control algorithms for micro air vehicles with transitioning flight capabilities

Towards a Unified Model-Free Control Architecture for Tailsitter Micro Air Vehicles: Flight Simulation Analysis and Experimental Flights

Stability of Digital Control System for Unmanned Aerial Vehicle with Numerical Analysis

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