title: Aircraft aerodynamic parameter detection using micro hot-film flow sensor array and BP neural network identification.
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.
authors.affiliation: State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China. katykob@163.com
authors.forename: Ruiyi
authors.initials: R
authors.lastname: Que
authors.forename: Rong
authors.initials: R
authors.lastname: Zhu
keywords: BP neural network; aerodynamic parameters; hot-film flow sensor