Global Nonlinear Aerodynamic Model Identification Based on NARMAX Model

摘要：

A new method for global nonlinear aerodynamic model identification is presented. Aerodynamic model of aircraft is analyzed, and a simple and effective aerodynamic model is presented. The aerodynamic model of aircraft is then depicted in NARMAX (Nonlinear Auto Regressive Moving Average model with exogenous inputs) form inside a Linear Regr ession framework. The items and coefficients of the aerodynamic model are identified in a sort of recursive algorithm simultaneously. The new identification method is used to identify a global nonlinear aerodynamic model of the F-16 fighter aircraft which uses the wind-tunnel data from NASA-Langley wind-tunnel tests on a scale model of an F-16 airplane. The identified aerodynamic model is compared directly with NASA wind tunnel model which uses polynomial model, showing that the identification method in this paper can identify the nonlinear aerodynamic coefficients and predict the aerodynamic parameters in higher precision.

关键词： aerodynamic model NARMAX (Nonlinear Auto Regressive Moving Average model with exogenous inputs) model linear regression polynominal model

作者: Hui Xia Xianyu Meng Qingwei Chen

作者单位: Department of Automation Nanjing University of Science and Technology Nanjing, China Department of computer Science TsingHua University Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 49-53

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）