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Failure detection by pilots during automatic landing: Models and experimentsA model of the pilot as a monitor of instrument failures during automatic landing is proposed. The failure detection model consists of two stages: a linear estimator (Kalman Filter) and a decision mechanism which is based on sequential analysis. The filter equations are derived from a simplified version of the linearized dynamics of the airplane and the control loop. The perceptual observation noise is modelled to include the effects of the partition of attention among the several instruments. The final result is a simple model consisting of a high pass filter to produce the observation residuals, and a decision function which is a pure integration of the residuals minus a bias term. The dynamics of a Boeing 707 were used to simulate the fully coupled final approach in a fixed base simulator which also included failures in the airspeed, glideslope, and localizer indicators. Subjects monitored the approaches and detected the failures; their performance was compared with the predictions of the model with good agreement between the experimental data and the model.
Document ID
Document Type
Conference Paper
Gai, E. G.
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Curry, R. E.
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Date Acquired
August 8, 2013
Publication Date
May 1, 1975
Publication Information
Publication: NASA. Ames Res. Center 11th Ann. Conf. on Manual Control
Subject Category
Man/System Technology And Life Support
Accession Number
Funding Number(s)
Distribution Limits
Work of the US Gov. Public Use Permitted.
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