Sensitivity analysis of wear prognosis in an H-infinity controlled F-16 elevator actuator model
Abstract
In this paper, a sensitivity analysis of a linearized F-16 system using prognosis based control reconfiguration is presented. The aircraft is modeled with an internal leakage fault due to seal wear in the hydraulic actuator controlling the elevator deflection. Using an H∞ controller to provide robust stability, uncertainty is introduced into the plant in the form of plant linearization error. The resulting prognosticated actuator seal wear is used to create a metric for the control reconfiguration performance and is analyzed from a statistical standpoint. Specifically, this performance metric is generated by finding the maximum value of the cross-correlation between each seal wear signal and that of the nominal plant. The maximum cross-correlations are then analyzed by fitting them to a generalized extreme value probability density function. For two independent linearization parameters, the GEV PDF is determined for the distribution of seal wear cross-correlation maxima, and the PDF parameters are compared. The method for developing the sensitivity analysis (including H∞ controller generation) was seen to be effective, and the analysis showed that variation in wear prognosis due to uniformly-varying plant linearization error was minimal.
Degree
M.S.M.E.
Advisors
Adams, Purdue University.
Subject Area
Mechanical engineering
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