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Aircraft aerodynamic parameter detection using micro hot-film flow sensor array and BP neural network identification.

Que R, Zhu R - Sensors (Basel) (2012)

Bottom Line: 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.

View Article: PubMed Central - PubMed

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

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.

No MeSH data available.


Related in: MedlinePlus

Monotone relationships between sensor readings and flow speed.
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f4-sensors-12-10920: Monotone relationships between sensor readings and flow speed.

Mentions: In CTD mode, a feedback is employed to maintain a constant temperature difference for the thermal flow sensor related to the ambient temperature except for very high frequency fluctuations [12–14]. Feeding U back to the top of the bridge restores the flow sensor's resistance to the original value via adjusting the Joule heating. Under the CTD mode, single sensor has a monotone relationship with the flow speed. The sensors' readings (including hot film sensors 1, 2, 3, 4, hot film sensors I, II, III, IV, and the Pitot tube) versus flow speeds tested in a wind tunnel are shown in Figure 4, where the flow speeds were set from 5 to 18 m/s (about 2 m/s per step). The results of Figure 4 reveal that the Pitot tube connecting with a pressure sensor had lower sensitivity at low airspeed and becomes more sensitive when the flow speed increases, while the hot film flow sensor exhibited the opposite tendency.


Aircraft aerodynamic parameter detection using micro hot-film flow sensor array and BP neural network identification.

Que R, Zhu R - Sensors (Basel) (2012)

Monotone relationships between sensor readings and flow speed.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472866&req=5

f4-sensors-12-10920: Monotone relationships between sensor readings and flow speed.
Mentions: In CTD mode, a feedback is employed to maintain a constant temperature difference for the thermal flow sensor related to the ambient temperature except for very high frequency fluctuations [12–14]. Feeding U back to the top of the bridge restores the flow sensor's resistance to the original value via adjusting the Joule heating. Under the CTD mode, single sensor has a monotone relationship with the flow speed. The sensors' readings (including hot film sensors 1, 2, 3, 4, hot film sensors I, II, III, IV, and the Pitot tube) versus flow speeds tested in a wind tunnel are shown in Figure 4, where the flow speeds were set from 5 to 18 m/s (about 2 m/s per step). The results of Figure 4 reveal that the Pitot tube connecting with a pressure sensor had lower sensitivity at low airspeed and becomes more sensitive when the flow speed increases, while the hot film flow sensor exhibited the opposite tendency.

Bottom Line: 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.

View Article: PubMed Central - PubMed

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

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.

No MeSH data available.


Related in: MedlinePlus