Validation of a multipoint approach for modeling spin aerodynamics

Jaramillo, Paul; Cho, Youngseung; Nagati, M. G.

doi:10.2514/3.46896

Cited by 2 publications

(2 citation statements)

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“…Multi-point modeling is also used for nonlinear aerodynamic modeling, especially spin maneuver. 17–20 This method is based on the theory of stripe, which states the local aerodynamic forces and moments at any point in the plane are a function of the local flow angle and local dynamic pressure. Fan et al.…”

Section: Introductionmentioning

confidence: 99%

“…Multi-point modeling is also used for nonlinear aerodynamic modeling, especially spin maneuver. [17][18][19][20] This method is based on the theory of stripe, which states the local aerodynamic forces and moments at any point in the plane are a function of the local flow angle and local dynamic pressure. Fan et al 21 proposed a technique for aerodynamic designing optimization by integrating Bezier curve parameterization and radial basis interpolation to enable large variation of aerodynamic profile during optimization.…”

Section: Introductionmentioning

confidence: 99%

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Identification of spin maneuver aerodynamic nonlinear model by applying ensemble empirical mode decomposition and extended multipoint modeling

Mokhtari

Sabzehparvar

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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Identification of the “aircraft aerodynamic model” in some unusual flight conditions such as spin maneuver provides critical information to the flight controller to retake the “dynamic stability” after it has been disturbed by the systematic, natural or environmental oscillations. Hence, a method for identifying the appropriate aerodynamic model in spin maneuvers is presented in this paper. We present an innovative systematic method for aerodynamic modeling of spin maneuvers, which combines the ensemble empirical mode decomposition technique and extended multipoint modeling approach, using flight data. In ensemble empirical mode decomposition, in addition to having all the empirical mode decomposition features, the original signal is collected with the white noise, and by using its statistical characteristics, the ensemble empirical mode decomposition solves the mode mixing problem. By applying the ensemble empirical mode decomposition to the flight parameter data, their intrinsic mode frequencies are extracted and are used as inputs to the extended multipoint modeling model. The extended multipoint modeling structure includes some parameters describing the distribution of aerodynamic forces and moments along each of the aircraft components. Moreover, this method allows coupling between the forces and moments. Unlike conventional methods, which consider the average forces obtained by plane surfaces relative to the center of mass, in the extended multipoint modeling technique, the force generated by each plane of the aircraft is allowed to appear independently in the motion equations. For identifying the aerodynamic model with extended multipoint modeling structure, the equation error method is used with a maximum likelihood optimizer inside. The obtained algorithm has been applied to two sets of spin maneuver flight data which were recorded in actual spin flight. The results demonstrate that the proposed method is able to reproduce the aerodynamic forces and moments for the second spin flight inputs with high accuracy by using a model which is derived from the first spin data identification.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%