An Overview of SensorCraft Capabilities and Key Enabling Technologies

Martínez, Juan Raúl Esparza; Flick, Peter; Perdzock, J. M.; Dale, Gary A.; Afb, Wright-Patterson; Davis, M. Bruce

doi:10.2514/6.2008-7185

Cited by 20 publications

(8 citation statements)

References 13 publications

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“…By combining these methods, the new approach can overcome the disadvantages of using CST or NURBS independently. The improved parameterization method referred to here as the Class Shape and NURBS Refinement Transformation (CSNT), is described in (1).…”

Section: ) Airfoil Parameterizationmentioning

confidence: 99%

“…In modern warfare environments, high-altitude longendurance/surveillance/reconnaissance (ISR) platforms that enable continuous and rapid reaction to dynamic combat operation requirements are playing an increasingly important role, and the SensorCraft is the main representative. According to demonstrations by the Air Force Research Laboratory, SensorCraft is envisioned as a near-space subsonic unmanned aerial vehicle (UAV) with advanced onboard sensor capabilities [1]. Compared with the conventional UAV, SensorCraft need to significantly improve the performance and vision of radar to obtain comprehensive and detailed data.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Optimization Approach for Aerodynamic, Structural, and Embedded Antenna Design of Joined-Wing SensorCraft

Jia

et al. 2020

IEEE Access

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The joined-wing configuration SensorCraft, presents a more feasible way to meet tough design requirements such as long-endurance and 360-deg radar coverage compared to conventional and flying wing configurations. Proper assessment of the interactions between aerodynamics, structure, and embedded antenna in the optimization of the joined-wing SensorCraft is essential to obtain superior performances. This paper establishes the embedded radar performance estimation model and describes an integrated design process of aerodynamic, structure, and embedded radar performance of such an aircraft. Results show that multi-objective optimization leads to an increase of 14.76% in lift-to-drag ratio, 3.96% and 8.75% in the forward-looking and backward-looking radar detection ranges respectively. Moreover, the structural weight is reduced by 6.0% compared to that of the baseline design. Moreover, sensitivities of the rear wing dihedral angle, endplate height ratio, and joint location of the joined-wing configuration are analyzed in detail.

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Section: ) Airfoil Parameterizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Optimization Approach for Aerodynamic, Structural, and Embedded Antenna Design of Joined-Wing SensorCraft

Jia

et al. 2020

IEEE Access

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“…This dissertation describes a series of flight tests conducted at the Texas A&M Flight Research Laboratory (FRL) to study the effects of micron-sized Discrete Roughness Elements (DREs) on a 30-degree swept-wing. The swept-wing test article used here was designed to better understand crossflow-dominated transition applicable to SensorCraft technology (Martinez et al 2008). Advances in lightweight composite construction, active flight controls, and aerodynamics are all needed to meet the lofty goals set forth for the notional SensorCraft vehicle.…”

Section: Overview and Motivationmentioning

confidence: 99%

In-Flight Receptivity Experiments on a 30-degree Swept-Wing Using Micron-sized Discrete Roughness Elements

Carpenter

2009

47th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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“…14 The goals were to demonstrate stable flight under reduced static stability, measure stability margins during flight, and alleviate gust loadings on the first two structural modes. The model was designed, constructed, and tested by Boeing, the United States Air Force, NextGen Aeronautics, Millenium Dynamics, and NASA.…”

Section: Wind-tunnel Model and Test Setupmentioning

confidence: 99%

Real-Time Frequency Response Estimation Using Joined-Wing SensorCraft Aeroelastic Wind-Tunnel Data

Grauer

Heeg

Morelli

2012

AIAA Atmospheric Flight Mechanics Conference

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A new method is presented for estimating frequency responses and their uncertainties from wind-tunnel data in real time. The method uses orthogonal phase-optimized multisine excitation inputs and a recursive Fourier transform with a least-squares estimator. The method was first demonstrated with an F-16 nonlinear flight simulation and results showed that accurate short period frequency responses were obtained within 10 seconds. The method was then applied to wind-tunnel data from a previous aeroelastic test of the JoinedWing SensorCraft. Frequency responses describing bending strains from simultaneous control surface excitations were estimated in a time-efficient manner.

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An Overview of SensorCraft Capabilities and Key Enabling Technologies

Cited by 20 publications

References 13 publications

Integrated Optimization Approach for Aerodynamic, Structural, and Embedded Antenna Design of Joined-Wing SensorCraft

Integrated Optimization Approach for Aerodynamic, Structural, and Embedded Antenna Design of Joined-Wing SensorCraft

In-Flight Receptivity Experiments on a 30-degree Swept-Wing Using Micron-sized Discrete Roughness Elements

Real-Time Frequency Response Estimation Using Joined-Wing SensorCraft Aeroelastic Wind-Tunnel Data

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