Simulation Analysis of Aerodynamic Characteristics of Flying Car Based on Bionic Seagull Wing

Chen, Changlong; Yang, Shichun; Chen, Fei

doi:10.1109/robio55434.2022.10011702

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Ref. [13] also tested the aerodynamic characteristics of flying cars with a special bionic seagull wing. Ref.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Altitude Control for Flying Cars Based on Active Disturbance Rejection Control

Xu,

Lu,

Luo

et al. 2024

Applied Sciences

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Flying cars offer huge advantages due to their deformable structure, which can adapt to external environments and mission requirements. They represent a novel system that can realize vertical takeoff and landing. However, the structure of a flying car is complicated, placing higher requirements on modeling accuracy and control effectiveness. Thus, in this paper, a dynamic model of a flying car is proposed by combining a car body, motor, and propellers. Then, a double-loop controller based on active disturbance rejection control is proposed to accurately control its flight altitude. Utilizing the extended state observer, external wind and other disturbances are regarded as an extended state, which can be dynamically observed and compensated to significantly improve tracking accuracy. The effectiveness of the proposed controller is validated through detailed simulations and flight experiments. The proposed controller significantly improves control accuracy and disturbance rejection capability.

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“…Ref. [13] also tested the aerodynamic characteristics of flying cars with a special bionic seagull wing. Ref.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Altitude Control for Flying Cars Based on Active Disturbance Rejection Control

Xu,

Lu,

Luo

et al. 2024

Applied Sciences

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Numerical two-dimensional optimization of a cylindrical fuselage for bioinspired unmanned aerial vehicle based on non-dominated sorting genetic algorithm-II

Dewangan,

Roy

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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To achieve an aerodynamically efficient design of fuselage for bioinspired unmanned aerial vehicles (UAV), the development of a systematic method is of paramount need. This work presents a multiobjective optimization study for shape parameterization of a 2D fuselage of foldable flapping wing UAV in low Reynolds number (2e05) flight conditions. The novelty of the research work lies in integrating S1223 airfoil characteristics for predicting the efficient shape design of the fuselage. This paper offers four sections; (i) the validation of the ANSYS Fluent model with experiment, (ii) the exploration of design variables using Design of Experiment (Sparse Grid Initialization), (iii) the implementation of response surface method (Genetic Aggregation) to know about dimensional sensitivity among independent and dependent variables and (iv) the application of multiobjective optimization method i.e. NSGA II to optimize the drag and lift coefficient. To identify the superiority, a comparative study between the original and optimized fuselage is presented considering many parameters like pressure contours, velocity contours, pressure coefficients, and streamlines representations. It is evident from various results that the 2D optimum shape significantly minimizes the drag coefficient and increases the lift coefficient. This work also makes room for 3D shape optimization, which helps in prototype fabrication for real-time flight conditions.

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Simulation Analysis of Aerodynamic Characteristics of Flying Car Based on Bionic Seagull Wing

Cited by 2 publications

References 5 publications

Dynamic Modeling and Altitude Control for Flying Cars Based on Active Disturbance Rejection Control

Dynamic Modeling and Altitude Control for Flying Cars Based on Active Disturbance Rejection Control

Numerical two-dimensional optimization of a cylindrical fuselage for bioinspired unmanned aerial vehicle based on non-dominated sorting genetic algorithm-II

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