Identification of helicopter rotor dynamic modelsA recursive, extended Kalman-filter approach is applied to the identifiction of rotor damping levels of representative helicopter dynamic systems. The general formulation of the approach is presented in the context of a typically posed stochastic estimation problem, and the method is analytically applied to determining the damping levels of a coupled rotor-body system. The identified damping covergence characteristics are studied for sensitivity to both constant-coefficient and periodic-coefficient measurement models, process-noise covariance levels, and specified initial estimates of the rotor-system damping. A second application of the method to identifying the plant model for a highly damped, isolated flapping blade with a constant-coefficient state model (hover) and a periodic-coefficient state model (forward flight) is also investigated. The parameter-identification capability is evaluated for the effect of periodicity on the plant model coefficients and the influence of different measurement noise levels.
Document ID
19830048648
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Molusis, J. A. (Connecticut Univ. Storrs, CT, United States)
Bar-Shalom, Y. (Connecticut, University Storrs, CT, United States)
Warmbrodt, W. (Connecticut Univ. Storrs, CT, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1983
Subject Category
Aircraft Design, Testing And Performance
Report/Patent Number
AIAA PAPER 83-0988
Meeting Information
Meeting: Structures, Structural Dynamics and Materials Conference