LQG/LIR controller with fault detection method based on genetic algorithms

Authors:
Luis Garcia;Manuel J. Lopez
Affiliations:
Department of System Engineering and Automatic, University of Cadiz, Escuela Superior de Ingenieria, Cadiz, Spain;Department of System Engineering and Automatic University of Cadiz, Escuela Superior de Ingenieria, Cadiz, Spain
Venue:
ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation
Year:
2005

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Abstract

This paper presents a method for tuning Linear Quadratic Gaussian/Loop-Transfer Recovery (LQG/LTR) controller combined with a fault detection and isolation (FDI) filter design, which is applied and tested for F-16 aircraft by simulation. LQG/LTR controller is adjusted for design specifications, aided with a procedure where genetic algorithms are used for parameters tuning. The FDI filter is based on robust residual generator design via multi-objective optimization and genetic algorithms (MOO-GA), and it is made sensitive to roll and sideslip sensors. A systematic design procedure is proposed composed with two phases for LQG/LTR controller and for FDI respectively, by means of which design specifications are satisfied.