Efficient predictive flight control

Medagoda, Eran D. B.; Gibbens, Peter W.

doi:10.1109/iccas.2010.5670226

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…[7][8][9]) for predicting turbulence. The ability to analyse turbulence would introduce potential use cases on board small UAVs to implement preemptive control which would allow UAVs to fly in more turbulent conditions [5,6]. To achieve this, the current technology would need to be miniaturized by increasing the operational frequency of the Doppler radar to 94 GHz and ultrasound to 213 kHz.…”

Section: Discussionmentioning

confidence: 99%

“…The impact of turbulence is most pronounced for small aircraft, most typically unmanned aerial vehicles (UAV) [4]. Minimising the impact of turbulence through pre-emptive control can improve the smoothness, speed and safety of a flight and allow UAVs to operate under conditions that would have previously been unsafe or even impossible [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Using Schlieren Imaging and Radar Acoustic Sounding System for the Detection and Characterization of Close-in Air Turbulence

Gordon,

Brooker

2023

Preprint

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This paper presents a novel sensor for the detection and characterization of regions of air turbulence that would be of use to improve UAV stability in bad weather. It consists of a combined Schlieren imager and a Radar Acoustic Sounding System (RASS) to produce dual modality “images” of air movement within the measurement volume. The ultrasound modulated Schlieren imager consists of a strobed point light source, parabolic mirror, light-block and camera which are controlled by two laptops. It provides a fine scale projection of the acoustic pulse modulated air turbulence through the measurement volume. The narrow beam 40 kHz/ 17 GHz RASS produces spectra based on Bragg enhanced Doppler radar reflections from the acoustic pulse as it travels. Tests using artificially generated air vortices showed some disruption of the Schlieren image and of the RASS spectrogram. This should allow the higher resolution Schlieren images to identify the turbulence mechanisms that are disrupting the RASS spectra.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using Schlieren Imaging and Radar Acoustic Sounding System for the Detection and Characterization of Close-in Air Turbulence

Gordon,

Brooker

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Future turbulence analysis could be combined with any relevant meteorological methods (e.g., [8][9][10]) for predicting turbulence. The ability to analyze turbulence would introduce potential use cases onboard small UAVs to implement pre-emptive control, which would allow UAVs to fly in more turbulent conditions [6,7]. The ultimate goal for this research is to dispense with the Schlieren component of the sensor and mount the RASS on a UAV.…”

Section: Discussionmentioning

confidence: 99%

“…But understanding where and how these conditions arise and their impact on UAV operations is complicated. Minimizing the impact of turbulence through pre-emptive control can improve the smoothness, speed and safety of a flight and allow UAVs to operate under conditions that would have previously been unsafe or even impossible [6,7].…”

Section: Introductionmentioning

confidence: 99%

Using Schlieren Imaging and a Radar Acoustic Sounding System for the Detection of Close-in Air Turbulence

Gordon,

Brooker

2023

Sensors

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This paper presents a novel sensor for the detection and characterization of regions of air turbulence. As part of the ground truth process, it consists of a combined Schlieren imager and a Radar Acoustic Sounding System (RASS) to produce dual-modality “images” of air movement within the measurement volume. The ultrasound-modulated Schlieren imager consists of a strobed point light source, parabolic mirror, light block, and camera, which are controlled by two laptops. It provides a fine-scale projection of the acoustic pulse-modulated air turbulence through the measurement volume. The narrow beam 40 kHz/17 GHz RASS produces spectra based on Bragg-enhanced Doppler radar reflections from the acoustic pulse as it travels. Tests using artificially generated air vortices showed some disruption of the Schlieren image and of the RASS spectrogram. This should allow the higher-resolution Schlieren images to identify the turbulence mechanisms that are disrupting the RASS spectra. The objective of this combined sensor is to have the Schlieren component inform the interpretation of RASS spectra to allow the latter to be used as a stand-alone sensor on a UAV.

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A fast MPC algorithm for reducing computation burden of MIMO

Mei

Chen

et al. 2015

Chinese Journal of Chemical Engineering

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Efficient predictive flight control

Cited by 6 publications

References 18 publications

Using Schlieren Imaging and Radar Acoustic Sounding System for the Detection and Characterization of Close-in Air Turbulence

Using Schlieren Imaging and Radar Acoustic Sounding System for the Detection and Characterization of Close-in Air Turbulence

Using Schlieren Imaging and a Radar Acoustic Sounding System for the Detection of Close-in Air Turbulence

A fast MPC algorithm for reducing computation burden of MIMO

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