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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Aircraft aerodynamic parameter detection using micro hot-film flow sensor array and BP neural network identification.

Ruiyi Que1, Rong Zhu

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China. katykob@163.com

Sensors (Basel, Switzerland)
|November 1, 2012
PubMed
Summary

A new method uses micro hot-film sensors on wings to measure aircraft speed and angles. This approach is practical for small aircraft where traditional sensors are too large.

Keywords:
BP neural networkaerodynamic parametershot-film flow sensor

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Area of Science:

  • Aerospace Engineering
  • Fluid Dynamics
  • Sensor Technology

Background:

  • Accurate measurement of air speed, angle of sideslip, and angle of attack is crucial for aircraft control.
  • Conventional aerodynamic parameter detection devices are often too bulky and heavy for small aircraft.

Purpose of the Study:

  • To propose a novel and practical methodology for inferring aerodynamic parameters in small aircraft.
  • To investigate the use of micro hot-film flow sensor arrays for this purpose.

Main Methods:

  • A micro hot-film flow sensor array was mounted on the wing surface.
  • A back-propagation neural network was employed to model the relationship between sensor readings and aerodynamic parameters.
  • Wind tunnel experiments were conducted with two different sensor arrangements to analyze system performance.

Main Results:

  • The study successfully demonstrated the feasibility of inferring aerodynamic parameters using the proposed sensor system.
  • Performance was analyzed in relation to different sensor arrangements.

Conclusions:

  • The micro hot-film sensor array offers a practical and potentially more compact solution for measuring key aerodynamic parameters in small aircraft.
  • The back-propagation neural network effectively models the complex sensor-aerodynamic parameter relationships.