Multidisciplinary Analysis and Optimization Method for Conceptually Designing of Electric Flying-Wing Unmanned Aerial Vehicles

Barcenas, Oscar Ulises Espinosa; Pioquinto, Jose Gabriel Quijada; Kurkina, E. V.; Lukyanov, Oleg

doi:10.3390/drones6100307

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…A variant of differential evolution that applies this type of scheme is the success history-based adaptation for differential evolution (SHADE) [50]. In previous works by the authors of this article, the good performance of the SHADE algorithm for the optimization of aerodynamic bodies such as wings has been corroborated [51].…”

Section: Optimization Algorithmmentioning

confidence: 72%

Algorithm for Propeller Optimization Based on Differential Evolution

Sedelnikov,

Kurkin,

Quijada-Pioquinto

et al. 2024

Computation

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This paper describes the development of a methodology for air propeller optimization using Bezier curves to describe blade geometry. The proposed approach allows for more flexibility in setting the propeller shape, for example, using a variable airfoil over the blade span. The goal of optimization is to identify the appropriate geometry of a propeller that reduces the power required to achieve a given thrust. Because the proposed optimization problem is a constrained optimization process, the technique of generating a penalty function was used to convert the process into a nonconstrained optimization. For the optimization process, a variant of the differential evolution algorithm was used, which includes adaptive techniques of the evolutionary operators and a population size reduction method. The aerodynamic characteristics of the propellers were obtained using the similar to blade element momentum theory (BEMT) isolated section method (ISM) and the XFOIL program. Replacing the angle of geometric twist with the angle of attack of the airfoil section as a design variable made it possible to increase the robustness of the optimization algorithm and reduce the calculation time. The optimization technique was implemented in the OpenVINT code and has been used to design helicopter and tractor propellers for unmanned aerial vehicles. The development algorithm was validated experimentally and using CFD numerical method. The experimental tests confirm that the optimized propeller geometry is superior to commercial analogues available on the market.

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Section: Optimization Algorithmmentioning

confidence: 72%

Algorithm for Propeller Optimization Based on Differential Evolution

Sedelnikov,

Kurkin,

Quijada-Pioquinto

et al. 2024

Computation

Self Cite

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“…In the considered problems, an individual is one of the possible variants of the project -vector xs, the components of which are certain values of the design variables of the designed aircraft The methodology of this work is based on an algorithm of [56], but have new approach with significant improvements that allow:…”

Section: Methodology For Selecting the Optimal Parameters Of An Aircr...mentioning

confidence: 99%

Atmospheric Aircraft Conceptual Design Based on Multidisciplinary Optimization with Differential Evolution Algorithm and Neural Networks

Lukyanov,

Hoang,

Kurkin

et al. 2024

Preprint

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A methodology for selecting rational parameters of atmospheric aircrafts at the initial stages of design using an optimization algorithm of differential evolution and numerical mathematical modeling of aerodynamics problems is proposed. The technique involves the implementation of weight and aerodynamic balance in the main flight modes, has the ability to consider atmospheric aircrafts with one or two lifting surfaces, apply parallel calculations and automatically generate a three-dimensional geometric model of aircraft appearance based on the optimization results. A method for accelerating the process of optimizing the parameters of an aircraft in terms of take-off weight by more than three times by introducing a objective function into a set of design variables is proposed and demonstrated. The results of assessing the reliability of the used mathematical models of aerodynamics and the correctness of the calculation the objective function, taking into account various constraints, are presented. A comprehensive test of the performance and efficiency of the methodology is considered by solving demonstration problems to optimize more than ten main design parameters the appearance of two existing heavy-class unmanned aerial vehicles with known characteristics from open sources.

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Reducing energy consumption of vertical take-off and landing unmanned aerial vehicle using hybrid technical solutions

Lukyanov,

Hoang,

Komarov

et al. 2024

VESTNIK of Samara University. Aerospace and Mechanical Engineer

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The paper describes possibilities of increasing the energy efficiency and reducing the takeoff weight of unmanned medium-heavy vertical takeoff and landing aerial vehicles of the airplane type. The authors propose a new hybrid type of unmanned aerial vehicle with a hybrid propulsion system, its aerodynamic design, method of realization of vertical takeoff/landing and cruising mode of flight which make it possible to reduce the takeoff weight of the aircraft, the weight of the basic propulsion system and the mass growth factor in comparison with the existing unmanned aerial vehicle of similar class, made according to the previously known technical solutions. The authors propose a methodology for optimizing the parameters of the configuration of the unmanned aerial vehicle considering the peculiarities of the implementation of vertical takeoff. The paper presents calculations of characteristics of vertical takeoff and landing unmanned aerial vehicles of existing types and the new hybrid type. The authors give quantitative estimates of improving unmanned aerial vehicle characteristics due to the new proposed technical solutions.

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Multidisciplinary Analysis and Optimization Method for Conceptually Designing of Electric Flying-Wing Unmanned Aerial Vehicles

Cited by 6 publications

References 41 publications

Algorithm for Propeller Optimization Based on Differential Evolution

Algorithm for Propeller Optimization Based on Differential Evolution

Atmospheric Aircraft Conceptual Design Based on Multidisciplinary Optimization with Differential Evolution Algorithm and Neural Networks

Reducing energy consumption of vertical take-off and landing unmanned aerial vehicle using hybrid technical solutions

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