Sensors 2012, 12(8), 10920-10929; doi:10.3390/s120810920
Article

Aircraft Aerodynamic Parameter Detection Using Micro Hot-Film Flow Sensor Array and BP Neural Network Identification

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Received: 25 April 2012; in revised form: 29 June 2012 / Accepted: 1 August 2012 / Published: 7 August 2012
(This article belongs to the Special Issue Ultra-Small Sensor Systems and Components)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Air speed, angle of sideslip and angle of attack are fundamental aerodynamic parameters for controlling most aircraft. For small aircraft for which conventional detecting devices are too bulky and heavy to be utilized, a novel and practical methodology by which the aerodynamic parameters are inferred using a micro hot-film flow sensor array mounted on the surface of the wing is proposed. A back-propagation neural network is used to model the coupling relationship between readings of the sensor array and aerodynamic parameters. Two different sensor arrangements are tested in wind tunnel experiments and dependence of the system performance on the sensor arrangement is analyzed.
Keywords: hot-film flow sensor; aerodynamic parameters; BP neural network
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MDPI and ACS Style

Que, R.; Zhu, R. Aircraft Aerodynamic Parameter Detection Using Micro Hot-Film Flow Sensor Array and BP Neural Network Identification. Sensors 2012, 12, 10920-10929.

AMA Style

Que R, Zhu R. Aircraft Aerodynamic Parameter Detection Using Micro Hot-Film Flow Sensor Array and BP Neural Network Identification. Sensors. 2012; 12(8):10920-10929.

Chicago/Turabian Style

Que, Ruiyi; Zhu, Rong. 2012. "Aircraft Aerodynamic Parameter Detection Using Micro Hot-Film Flow Sensor Array and BP Neural Network Identification." Sensors 12, no. 8: 10920-10929.


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