2023
DOI: 10.3390/applmech4020028
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Effect of Control Parameters on Hybrid Electric Propulsion UAV Performance for Various Flight Conditions: Parametric Study

Abstract: Nowadays, great efforts of ongoing research are devoted to hybrid-electric propulsion technology that offers various benefits, such as reduced noise and pollution emissions and enhanced aircraft performance and fuel efficiency. The ability to estimate the performance of an aircraft in any flight situation in which it may operate is essential for aircraft development. In the current study, a simulation model was developed that allows estimating the flight performance and analyzing the mission of a fixed-wing mu… Show more

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Cited by 6 publications
(4 citation statements)
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“…Amine Benmoussa and his colleagues developed a simulation model capable of estimating flight performance and analyzing aircraft equipped with hybrid electric power units (HEPUs). They examined the impact of various parameters on aircraft performance [25]. Huqi et al established a three-dimensional numerical wave tank and validated the accuracy of numerical wave generation using linear wave theory.…”
Section: Introductionmentioning
confidence: 99%
“…Amine Benmoussa and his colleagues developed a simulation model capable of estimating flight performance and analyzing aircraft equipped with hybrid electric power units (HEPUs). They examined the impact of various parameters on aircraft performance [25]. Huqi et al established a three-dimensional numerical wave tank and validated the accuracy of numerical wave generation using linear wave theory.…”
Section: Introductionmentioning
confidence: 99%
“…Zheng et al [16] studied the motion of porpoising and the stability of a blended wing body plane ditching on water, which can be caused by a higher initial speed or pitch angle before slamming. The performance of a fixedwing multi-rotor Unmanned Aerial Vehicle (UAV) with different control parameters was parametrically studied by Benmoussa and Gamboa [17]. Song et al [18] studied the suction force, pressure, free surface, and motion of a seaplane model by using the overset mesh method, and the coupled hydrodynamic and aerodynamic effects were comprehensively analyzed.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [22] proposed a simultaneous path planning method based on an improved deep reinforcement learning (DRL) algorithm, combined with radio mapping techniques, to optimize 3D trajectories for cellular-connected UAVs in order to improve the system efficiency and reliability. Benmoussa et al [23] conducted a parametric study to investigate the effects of control parameters on the performance of a UAV with a hybrid electric propulsion system under different flight conditions, aiming to provide guidance for the design and operation of UAVs. Zhang et al [24] devised a trajectory prediction model spanning four dimensions by integrating historical flight data with UAV motion equations.…”
Section: Introductionmentioning
confidence: 99%