Coupled Inertial Navigation and Flush Air Data Sensing Algorithm for Atmosphere Estimation

Karlgaard, Christopher D.; Kutty, Prasad; Schoenenberger, Mark

doi:10.2514/1.a33331

Cited by 21 publications

(1 citation statement)

References 40 publications

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“…In the overall design of the compression ignition ramjet, the dynamic pressure and the angle of attack are also two important parameters. At present, the measurement of atmospheric data mainly adopts the Flush Air Data Sensing system (FADS) [2], which depends on the design of the pressure sensor array to measure the pressure distribution on the surface of the aircraft head or other local positions, and converts the pressure data through a specific solution algorithm mode l [3]. Measure and obtain atmospheric parameters during flight (Fig.…”

Section: Introductionmentioning

confidence: 99%

Design of Multi-channel Pressure Data Acquisition System Based on Resonant Pressure Sensor for FADS

Fan

Miao

Zhu

et al. 2022

Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications

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Resonant pressure sensors have high accuracy and are widely used in meteorological data acquisition, aerospace and other fields. The design and experiment of multi-channel pressure data acquisition system based on resonant pressure sensor, which used for the flush air data sensing(FADS) system, are described. The hardware architecture of DSP and FPGA is applied to the data acquisition system. The digital cymometer and 16-bit analog-to-digital converter are used to measure the output signal of the sensor. It is shown the data acquisition system has favourable performance within the operating temperature range. The maximum experimental error is less than 0.02%FS over the range 2–350 kPa. The period of sampling and fitting is less than 8 ms. The frequency and voltage measurements meet accuracy requirements. The calculated pressure and standard pressure result appears excellent linearity, which reach up to 0.9999.

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Section: Introductionmentioning

confidence: 99%