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Multiple partitioning of flight data for manoeuvrable aircraft aerodynamic modeling and parameter estimation. (Chinese. English summary) Zbl 1374.93034

Summary: Under the quasi-steady assumption, aerodynamic characteristics show marked nonlinearity in high angle of attack or large amplitude maneuvers of manoeuvrable aircraft. A linear aerodynamic model generally identified from small amplitude maneuvers about trim conditions is no longer suitable for this case. In order to solve this problem, a method of multiple partitioning of flight data is proposed, which can characterize aerodynamic global nonlinearity by partitioned linearity. In each partitioned subset, a general aerodynamic model is formed by the Taylor’s series expansion of static terms, dynamic stability derivatives and control derivatives of aerodynamic force and moment coefficients. The parameters in this aerodynamic model are estimated by using the class of least squares methods. According to the simulation flight test data of a modern fighter aircraft, the aerodynamic parameters are estimated which fit well with the true values. The test results verify the proposed multiple partitioning of flight data and the general aerodynamic model.

MSC:

93A30 Mathematical modelling of systems (MSC2010)
93E12 Identification in stochastic control theory
93E10 Estimation and detection in stochastic control theory
93B30 System identification
93C05 Linear systems in control theory
93C10 Nonlinear systems in control theory
93E25 Computational methods in stochastic control (MSC2010)
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