Kalman filter design for control surface failure detection and isolation [flight control]

Author

Lee, Howard P. ; Dudginski, Robert J.

Author_Institution

Lockheed Aeronaut. Syst. Co., Burbank, CA, USA

fYear

1988

fDate

23-27 May 1988

Firstpage

1495

Abstract

The use of Kalman filters for residual generation for control surface failure detection and isolation (FDI) is studied. The FDI algorithm investigated consists of two main components: a Kalman filter for residual generation and a set of pairwise log-likelihood-ratio (LLR) tests for decision processing. The performance of several Kalman filter designs under a severe gust level of 20-fps RMS is evaluated. The performance of the FDI algorithm is measured in terms of the probabilities of detection and false alarm which are closely related to the signal-to-noise ratios (SNRs) of the decision LLRs. The filter design process is aided by evaluating the SNRs of the different Kalman filter configurations. It was found that including the gust-shaping filters in the Kalman filter equations improved the FDI performance under severe wind turbulence. However, all the filter configurations evaluated were sensitive to parameter variations

Keywords

Kalman filters; aerospace computing; aerospace control; fault location; probability; signal detection; FDI algorithm; Kalman filter design; control surface; decision processing; failure detection and isolation; false alarm; gust-shaping filters; log likelihood ratio test; probabilities; signal-to-noise ratios; wind turbulence; Actuators; Aerospace control; Aircraft; Control systems; Fault detection; Filters; Maintenance; Redundancy; Signal to noise ratio; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National

Conference_Location

Dayton, OH

Type

conf

DOI

10.1109/NAECON.1988.195204

Filename

195204