Multidisciplinary Design Optimization of Quiet, Hybrid-Electric Small Unmanned Aerial Systems

Bryson, Dean E.; Marks, Christopher R.; Miller, Ryan M.; Rumpfkeil, Markus P.

doi:10.2514/1.c033455

Cited by 19 publications

(7 citation statements)

References 16 publications

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“…Bryson et al [15] presented a multidisciplinary design analysis and optimization of quiet small unmanned aerial systems (SUASs). A multi-objective, non dominated sorting genetic algorithm (NSGA-II) was used to find the Paretooptimal trade space for maximising range and minimising vehicle noise.…”

Section: Bibliography Reviewmentioning

confidence: 99%

“…Analysing the references cited previously, a work like Landolfo [10] elucidates the difficulties found during the unmanned aircraft design process, due to the lack of availability and reliability of historic regressions and design coefficients. "The potential consequences of early design decisions made with insufficient data include missed opportunities to increase vehicle performance and cost overruns to meet performance metrics or correct design defects" [15].…”

Section: Bibliography Reviewmentioning

confidence: 99%

“…It is explicit the dependence between the mission requirements and the methodology adopted during the design process and the chosen optimization method. According to Martins and Lambe [5], there are many architectures available to solve the optimization problems, and they must be presented in diagrams, such as those found in Bryson et al [15], Hosseini et al [16] and Papageorgiou et al [17]. It is notorious that the disciplines related to airworthiness, like propulsion, mass, structures, aerodynamics and stability, receive more attention in an optimization framework than disciplines that are not in the field of aeronautics.…”

Section: Bibliography Reviewmentioning

confidence: 99%

See 2 more Smart Citations

A study for a MDO Process Applied to Conceptual Design of a Remotely Piloted Aircraft

Gatelli

Souza

Awruch

2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

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The aircraft design process involves the interaction among disciplines with different nature. Finding an optimal concept is a trade off task that requires time and experience from designers and engineers. Multidisciplinary Design optimization (MDO) methods help to automatise and to simplify that complex task, aiming to obtain design solutions that comply with multiple requirements and constraints at once. The present work seeks to develop a conceptual design framework of a remotely piloted aircraft (RPA). A review on this subject is presented, identifying different MDO approaches. The analysed disciplines of aeronautical design are: geometry, aerodynamics, weight, performance, stability and flight dynamics. The relationship among them are presented in a block diagram. Afterwards, a technique of MDO is applied to the framework, assembling a mono objective problem using the Particle Swarm optimization (PSO) algorithm to minimise aircraft structural mass under stability constraints. This objective is obtained from dimensional parameters of feasible aircraft concepts as output solution of the process. Therefore, the MDO method speeds the design process up, without employing the traditional trial and error approach, which, as well as doesn't guarantee the achievement of an optimal configuration, turns the process slow and expensive.

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Section: Bibliography Reviewmentioning

confidence: 99%

Section: Bibliography Reviewmentioning

confidence: 99%

Section: Bibliography Reviewmentioning

confidence: 99%

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A study for a MDO Process Applied to Conceptual Design of a Remotely Piloted Aircraft

Gatelli

Souza

Awruch

2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

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“…If the performance needs are also included in the cost function, the potential of a hybrid propulsion system can be thoroughly evaluated in one optimization run, by using multi-objective optimization. An engineering note about hybrid unmanned aircraft design using multi-objective genetic algorithms was published in 2016 [21], but the authors did not find any full-length-articles in the open literature providing detailed analysis of hybrid aircraft sizing using multi-objective optimization.…”

Section: Introductionmentioning

confidence: 99%

Sizing of hybrid electric propulsion system for retrofitting a mid-scale aircraft using non-dominated sorting genetic algorithm

Xie

Chai

Tsourdos

2018

Aerospace Science and Technology

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The paper presents the sizing of a hybrid electric propulsion system for a prototype aircraft. The main contribution of the paper is to apply multi-objective optimization in the retrofit of a mid-scale aircraft and investigate the fuel economy of the hybrid aircraft for a particular mission cycle. Using the Non-dominated Sorting Genetic Algorithm (NSGA), the fuel consumptions for different flight durations are minimized, which represent the optimal trade-off between fuel consumption and flight duration. With no compromise on endurance and range, the maximum fuel reduction of the retrofitted hybrid aircraft reaches 17.6%, by comparison with the prototype aircraft. The retrofitted aircraft achieves better cruising and climbing performance with the sized hybrid propulsion system. The novelty of the study is the proposal of a new non-dominated sorting algorithm-Benchmark based Non-Dominated Sort (BNDS) for the NSGA. BNDS can reduce the number of comparisons and the time complexity of the non-dominated sorting process. A constraint handling approach is also integrated into the BNDS/NSGA to address performance and mission requirements.

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“…Most authors state that the use of electric fans eliminates the jet noise, but there is still noise from propeller blades (BPF noise). Bryson et al (2016) predict that a 1 MW electric motor will produce lower sound pressure levels when compared to the noise of a low-pressure ratio fan.…”

Section: Noise and Heat Signature Effectsmentioning

confidence: 99%

Contributions to Conceptual Design of Electric and Hybrid-electric Aircraft

Silva¹

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O trabalho de pesquisa realizado busca estudar como a definição de um sistema propulsivo híbrido impacta no projeto conceitual de aeronaves elétricas e híbridas. Em virtude das metas de redução de poluentes, ruídos e outras questões ambientais que são definidas por organizações internacionais, este tema de pesquisa tem se tornado muito relevante atualmente, sendo foco de trabalhos recentes em todo o mundo. Neste contexto, foram apresentadas as principais arquiteturas que formam os sistemas propulsivos híbridos, destacando suas vantagens e limitações, e foram listados exemplos de protótipos de aeronaves que já realizaram o primeiro voo, além de projetos que ainda estão em desenvolvimento. Em seguida, foram retratados os conceitos relativos a sistemas de propulsão distribuída (DP) e como seus efeitos aero-propulsivos podem influenciar no projeto conceitual final. Um método para construção de diagrama de restrições foi descrito e uma aeronave do tipo thin haul foi escolhida para ser o exemplo de aplicação. Os resultados mostraram uma melhora aerodinâmica devido ao DP, o que resultou em um aumentou do espaço viável de projeto, permitindo asas e conjuntos propulsivo menores. Além disso, foi proposta uma abordagem de dimensionamento por energia de fase de missão típica para estimar os pesos dos componentes da aeronave. A análise paramétrica mostrou que a missão exigida e a tecnologia de baterias atual é crucial para dimensionar a aeronave. Não obstante, foram apresentados os principais efeitos da eletrificação no projeto de aeronaves, juntamente com os desafios atuais e necessidades tecnológicas esperadas.

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Multidisciplinary Design Optimization of Quiet, Hybrid-Electric Small Unmanned Aerial Systems

Cited by 19 publications

References 16 publications

A study for a MDO Process Applied to Conceptual Design of a Remotely Piloted Aircraft

A study for a MDO Process Applied to Conceptual Design of a Remotely Piloted Aircraft

Sizing of hybrid electric propulsion system for retrofitting a mid-scale aircraft using non-dominated sorting genetic algorithm

Contributions to Conceptual Design of Electric and Hybrid-electric Aircraft

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