A Microprocessor-Based Data-Acquisition System for Stall/Spin Research

M. Sri-Jayantha; Robert F. Stengel

doi:10.1109/TAES.1983.309420

A Microprocessor-Based Data-Acquisition System for Stall/Spin Research

M. Sri-Jayantha, Robert F. Stengel

Mechanical & Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Accurate data are necessary for the identification of aerodynamic parameters at high angle of attack and in spinning flight. Modern sensors and microelectronic devices are employed in a stall/ spin data acquisition system that will be tested in a Schweizer 2-32 sailplane. This instrumentation package will use a quaternion-based “strapdown IMU” algorithm to derive vehicle attitude from angular rate data, and it will use fault-detection logic to identify inflight sensor failures. Details of the system and flight test program are presented, together with results of preflight digital simulation analysis.

Original language	English (US)
Pages (from-to)	59-70
Number of pages	12
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	AES-19
Issue number	1
DOIs	https://doi.org/10.1109/TAES.1983.309420
State	Published - Jan 1983

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Electrical and Electronic Engineering

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10.1109/TAES.1983.309420

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abstract = "Accurate data are necessary for the identification of aerodynamic parameters at high angle of attack and in spinning flight. Modern sensors and microelectronic devices are employed in a stall/ spin data acquisition system that will be tested in a Schweizer 2-32 sailplane. This instrumentation package will use a quaternion-based “strapdown IMU” algorithm to derive vehicle attitude from angular rate data, and it will use fault-detection logic to identify inflight sensor failures. Details of the system and flight test program are presented, together with results of preflight digital simulation analysis.",

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AB - Accurate data are necessary for the identification of aerodynamic parameters at high angle of attack and in spinning flight. Modern sensors and microelectronic devices are employed in a stall/ spin data acquisition system that will be tested in a Schweizer 2-32 sailplane. This instrumentation package will use a quaternion-based “strapdown IMU” algorithm to derive vehicle attitude from angular rate data, and it will use fault-detection logic to identify inflight sensor failures. Details of the system and flight test program are presented, together with results of preflight digital simulation analysis.

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A Microprocessor-Based Data-Acquisition System for Stall/Spin Research

Abstract

All Science Journal Classification (ASJC) codes

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