Non-linear maximum likelihood estimation of stability derivatives from range data

Ram, Mohan VS and Srinath Sastry, CV (1986) Non-linear maximum likelihood estimation of stability derivatives from range data. Technical Report. National Aeronautical Laboratory, Bangalore, India.

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    Abstract

    A parameter identification technique of extracting nondimensional stability derivatives for the AGARD standard ballistic correlation model HB-2 from supersonic free-flight data is investigated. Based on the Maximum Likelihood criterion, the identification technique used is a modified Newton-Raphson quasi-linearization minimization procedure with certain extensions for handling general nonlinear systems without involved program changes. A hybrid type formulation for the 6 degrees of freedom nonlinear equations of motion is employed wherein aerodynamic force and moment representations are in wind-axis and body-axis coordinate systems respectively. Results for both the longitudinal and lateral stability derivatives of the AGARD model demonstrate, as borne out by the excellent fit to the measured motions of a typical flight and accuracy of the parameter estimates, the suitability and power of the maximum likelihood method and functional adequacy of the mathematical model used.

    Item Type: Proj.Doc/Technical Report (Technical Report)
    Uncontrolled Keywords: Equations of motion;Free flight;Kinematics;Mathematical models;Maximum likelihood estimates;Nonlinearity;Parameter identification;Angular momentum;Flight paths;Spline functions;State vectors;Velocity
    Subjects: AERONAUTICS > Research and Support Facilities (Air)
    Division/Department: Systems Engineering Division, Systems Engineering Division
    Depositing User: Mr. Ravikumar R
    Date Deposited: 11 Nov 2006
    Last Modified: 24 May 2010 09:53
    URI: http://nal-ir.nal.res.in/id/eprint/3339

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