Generalized Linear Quadratic Control for a Full Tracking Problem in Aviation
Franciszek Dul, Piotr Lichota, Artur Rusowicz
Abstract
In this paper, the full tracking problem in aircraft system identification and control is presented. Time domain output error method with maximum likelihood principle was used to perform system identification. The linear quadratic regulator (LQR)-based approach has been used for solving aviation full tracking problems in aviation. It has been shown that the generalized nonlinear LQR control is able to handle such problems even in case of inaccurate measurements and in the presence of moderate disturbances provided that the model of an aircraft is properly identified.
Topics & Concepts
Linear-quadratic regulatorControl theory (sociology)Identification (biology)System identificationAviationNonlinear systemTracking (education)Domain (mathematical analysis)Quadratic equationGeneral aviationEngineeringFrequency domainTime domainControl (management)Optimal controlControl engineeringComputer scienceMathematicsMathematical optimizationAerospace engineeringData modelingArtificial intelligenceQuantum mechanicsMathematical analysisComputer visionGeometryBiologyBotanySoftware engineeringPsychologyPedagogyPhysicsControl Systems and IdentificationAdaptive Control of Nonlinear SystemsStability and Control of Uncertain Systems