NDLI: Sinusoidal disturbance rejection with application to helicopter flight data estimation

Content Provider	IEEE Xplore Digital Library
Author	Goodwin, G. Evans, R. Leal, R. Feik, R.
Copyright Year	1974
Abstract	This paper is concerned with the problem of eliminating sinusoidal disturbances from data while producing minimal distortion to the underlying data. A particular example of this problem arises in the filtering of helicopter data which are corrupted by sinusoidal disturbances due to rotor motion. It is shown that an optimal solution to the problem can be found using Kalman filtering theory. The properties of the optimal filter are analyzed using recent results on filtering for nonstabilizable systems. These results are then used to motivate a particular near-optimal filter which has enhanced robustness properties relative to the optimal filter. It will also be shown that an identical filter can be derived using recent results on the evaluation of recursive discrete Fourier transforms. This link between time and frequency domain methods leads to a rather complete understanding of the characteristics of the filter. Specific results are presented showing the application of the filter to real helicopter data.
Starting Page	479
Ending Page	484
Page Count	6
File Size	709106
File Format	PDF
ISSN	00963518
Volume Number	34
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-06-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Helicopters Kalman filters Robustness Discrete Fourier transforms Riccati equations Filtering theory Frequency Low pass filters Laboratories Australia
Content Type	Text
Resource Type	Article
Subject	Signal Processing

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