Obtaining Consistent Models of Helicopter Flight-Data Measurement Errors UsingKinematic-Compatibility and State-Reconstruction Methods

摘要

A new method has been developed for application of Kalman Filter/Smoothers topost-flight processing of helicopter flight test dynamic measurements. This processing includes checking for kinematic compatibility among the measurements, identification of a measurement error model, and reconstruction of both measured and unmeasured time histories. Emphasis is placed on identification of a parametric measurement error model which is valid for a set of flight test data. This is facilitated through a new method of concatenating several maneuver time histories. The method also includes a model structure determination step which ensures that a physically realistic parameterization has been achieved. Application of the method to a set of BO-105 flight test data is illustrated. The resulting minimally parameterized error model is shown to characterize the measurement errors of the entire data set with very little variation in the parameter values. Reconstructed time histories are shown to have increased bandwidths and signal-to-noise ratios. Keywords: BO-105 Aircraft; West Germany helicopters. (edc)