NASA Langley's AirSTAR Testbed: A Subscale Flight Test Capability for Flight Dynamics and Control System Experiments

Jordan, Thomas; Bailey, Roger M.

doi:10.2514/6.2008-6660

Cited by 65 publications

(46 citation statements)

References 6 publications

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“…This implies that the targeted UAVs must carry enough payload for the avionics components. This solution is applied to UAVs [21,22,23,24,25]. The problem of retrieving a coherent view of on-board imprecise sensors has been extensively studied in [26], and Kalman Filters [27,28] are used to correct drifts and measurement errors.…”

Section: Related Workmentioning

confidence: 99%

A low-power architecture for high frequency sensor acquisition in many-DOF UAVs

Mancuso

Dantsker

Caccamo

et al. 2014

2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)

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Abstract-Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular thanks to an increase in the accessibility of components with high reliability and reduced cost, making them suitable for civil, military and research purposes. Vehicles classified as UAVs can have largely different properties in terms of physical design, size, power, capabilities, as well as associated production and operational cost. In this work, we target UAVs that feature a high number of degrees of freedom (DOF) and that are instrumented with a large number of sensors. For such platforms, we propose an architecture to perform data acquisition from on-board instrumentation at a frequency (100 Hz) that is twice as fast as existing products. Our architecture is capable of performing acquisition with strict timing constraints, thus, the produced data stream is suitable for performing real-time sensor fusion. Furthermore, our architecture can be implemented using embedded, commercial hardware, resulting in a low-cost solution. Finally, the resulting data acquisition unit features a low-power consumption, allowing it to operate for two to three hours with a miniature battery.

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Section: Related Workmentioning

confidence: 99%

A low-power architecture for high frequency sensor acquisition in many-DOF UAVs

Mancuso

Dantsker

Caccamo

et al. 2014

2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)

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“…VII presents a detailed application to aircraft flight control using the generic transport model (GTM), a high-fidelity scaled transport aircraft model developed at NASA Langley Research Center [15] that models the effects of airframe damage, actuator failures, and time delay. The GTM model is representative of the NASA Airborne Subscale Trasport Aircraft Research (AirSTAR) flight-test vehicle [16,17]. DF-MRAC has been flight-tested on AirSTAR, and the results are reported in [18].…”

mentioning

confidence: 99%

Derivative-Free Model Reference Adaptive Control

Yucelen

Calise

2011

Journal of Guidance, Control, and Dynamics

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A derivative-free, delayed weight update law is developed for model reference adaptive control of continuous-time uncertain systems, without assuming the existence of constant ideal weights. Using a Lyapunov-Krasovskii functional it is proven that the error dynamics are uniformly ultimately bounded, without the need for modification terms in the adaptive law. Estimates for the ultimate bound and the exponential rate of convergence to the ultimate bound are provided. Also discussed are employing various modification terms for further improving performance and robustness of the adaptively controlled system. Examples illustrate that the proposed derivative-free model reference adaptive control law is advantageous for applications to systems that can undergo a sudden change in dynamics.

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“…More details of the flight vehicle and its instrumentation are available in Ref. 6. Prior to the flight model's construction, wind tunnel models were built at this same scale and used for both static and forced oscillation tunnel testing.…”

Section: Research Vehicle and Simulation Environmentmentioning

confidence: 99%

Subscale Flight Testing for Aircraft Loss of Control: Accomplishments and Future Directions

Cox

Cunningham

Jordan

2012

AIAA Guidance, Navigation, and Control Conference

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Subscale flight-testing provides a means to validate both dynamic models and mitigation technologies in the high-risk flight conditions associated with aircraft loss of control. The Airborne Subscale Transport Aircraft Research (AirSTAR) facility was designed to be a flexible and efficient research facility to address this type of flight-testing. Over the last several years (2009-2011) it has been used to perform 58 research flights with an unmanned, remotelypiloted, dynamically-scaled airplane. This paper will present an overview of the facility and its architecture and summarize the experimental data collected. All flights to date have been conducted within visual range of a safety observer. Current plans for the facility include expanding the test volume to altitudes and distances well beyond visual range. The architecture and instrumentation changes associated with this upgrade will also be presented.

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NASA Langley's AirSTAR Testbed: A Subscale Flight Test Capability for Flight Dynamics and Control System Experiments

Cited by 65 publications

References 6 publications

A low-power architecture for high frequency sensor acquisition in many-DOF UAVs

A low-power architecture for high frequency sensor acquisition in many-DOF UAVs

Derivative-Free Model Reference Adaptive Control

Subscale Flight Testing for Aircraft Loss of Control: Accomplishments and Future Directions

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