Control-oriented modeling of a high-aspect-ratio flying wing with coupled flight dynamics

Niu, Cong; Yan, Xiu-Tian; Chen, Boyi

doi:10.1016/j.cja.2022.08.018

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…Flight control is one of the most demanding categories of control, featuring strong non-linearity and maneuvering coupling (Hegde et al, 2021;Niu et al, 2023;Rogalski et al, 2021). Landing is one of the most challenging phases during flight, while carrier landing is even more dangerous compared with land-based landing owing to adverse sea conditions (Duan et al, 2022a(Duan et al, , 2022b.…”

Section: Introductionmentioning

confidence: 99%

Virtually constrained generalized relative motion modeling and a control parameter optimizer for automatic carrier landing

Zhang,

Li,

Kan

et al. 2024

AEAT

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Purpose This paper aims to propose a novel control scheme and offer a control parameter optimizer to achieve better automatic carrier landing. Carrier landing is a challenging work because of the severe sea conditions, high demand for accuracy and non-linearity and maneuvering coupling of the aircraft. Consequently, the automatic carrier landing system raises the need for a control scheme that combines high robustness, rapidity and accuracy. In addition, to exploit the capability of the proposed control scheme and alleviate the difficulty of manual parameter tuning, a control parameter optimizer is constructed. Design/methodology/approach A novel reference model is constructed by considering the desired state and the actual state as constrained generalized relative motion, which works as a virtual terminal spring-damper system. An improved particle swarm optimization algorithm with dynamic boundary adjustment and Pareto set analysis is introduced to optimize the control parameters. Findings The control parameter optimizer makes it efficient and effective to obtain well-tuned control parameters. Furthermore, the proposed control scheme with the optimized parameters can achieve safe carrier landings under various severe sea conditions. Originality/value The proposed control scheme shows stronger robustness, accuracy and rapidity than sliding-mode control and Proportion-integration-differentiation (PID). Also, the small number and efficiency of control parameters make this paper realize the first simultaneous optimization of all control parameters in the field of flight control.

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Section: Introductionmentioning

confidence: 99%

Virtually constrained generalized relative motion modeling and a control parameter optimizer for automatic carrier landing

Zhang,

Li,

Kan

et al. 2024

AEAT

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“…In existing research [8][9][10] on fixed-wing aircraft flight simulation, the majority of studies are based on developing flight dynamics models, control algorithms, and trajectory planning using MATLAB software. Scott et al [11] developed a fixed-wing aircraft simulation tool that incorporates aerodynamics, structural dynamics, kinematics, and kinetics, but has only numerical simulation calculations and no visual scene interface.…”

Section: Introductionmentioning

confidence: 99%

Research on Scenario Modeling for V-Tail Fixed-Wing UAV Dynamic Obstacle Avoidance

Huang,

Tang,

Yang

et al. 2023

Drones

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With the advantages of long-range flight and high payload capacity, large fixed-wing UAVs are often used in anti-terrorism missions, disaster surveillance, and emergency supply delivery. In the existing research, there is little research on the 3D model design of the V-tail fixed-wing UAV and 3D flight environment modeling. The study focuses on designing a comprehensive simulation environment using Gazebo and ROS, referencing existing large fixed-wing UAVs, to design a V-tail aircraft, incorporating realistic aircraft dynamics, aerodynamics, and flight controls. Additionally, we present a simulation environment modeling approach tailored for obstacle avoidance in no-fly zones, and have created a 3D flight environment in Gazebo, generating a large-scale terrain map based on the original grayscale heightmap. This terrain map is used to simulate potential mountainous terrain threats that a fixed-wing UAV might encounter during mission execution. We have also introduced wind disturbances and other specific no-fly zones. We integrated the V-tail fixed-wing aircraft model into the 3D flight environment in Gazebo and designed PID controllers to stabilize the aircraft’s flight attitude.

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Control-oriented modeling of a high-aspect-ratio flying wing with coupled flight dynamics

Cited by 2 publications

References 19 publications

Virtually constrained generalized relative motion modeling and a control parameter optimizer for automatic carrier landing

Virtually constrained generalized relative motion modeling and a control parameter optimizer for automatic carrier landing

Research on Scenario Modeling for V-Tail Fixed-Wing UAV Dynamic Obstacle Avoidance

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