Estimation of airspeed based on acoustic vector sensor array

Chen, Cheng; Tao, Jianwu; Zeng, Bin

doi:10.1109/icosp.2012.6491662

Cited by 3 publications

(2 citation statements)

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“…The clock angle(ϕ ) is the angle between ZOP plane and ZOX plane. Since the acoustic vector sensor measures the velocity component p V along the air-leading pipe [5,6] . If all the pipes are located parallel to the Z axis, then p V equals sin V θ λ in spherical coordinate.…”

Section: Derivation Of Expressionsmentioning

confidence: 99%

“…However, to overcome the drawbacks of poor real-time, complex algorithms of FADS [2,3,4] , a new kind of FADS based on the acoustic vector sensors, instead of pressure sensors, is proposed to measure atmospheric parameters more accurately and quickly. At both subsonic and supersonic conditions, Chen cheng and Zen bin [5,6] have measured airflow velocity with acoustic vector sensors at a point on vehicle' surface in theory. however, to estimate the velocity and direction of the free far field flow, a new model of airflow velocity distribution over vehicle must be developed.…”

Section: Introductionmentioning

confidence: 99%

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Ball-Nose Vehicle's Atmospheric Parameters Estimation Based on Airflow Velocity

Qian¹,

Tao²,

et al. 2014

AMM

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The airflow velocity over blunt sphere is used to calculate ball-nose vehicle's atmospheric parameters about angle of attack, angle of sideslip and flight speed. A final model satisfying compressible flow is developed, and the expressions for atmospheric parameters is derived from three strategically selected sensors' velocity. The expressions of atmospheric parameters are verified through Fluent stimulation. The result of stimulation demonstrates a good accuracy of angles and flight speed, and the system has a good real-time performance.

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Section: Derivation Of Expressionsmentioning

confidence: 99%