NDLI: Adaptive control of uncertain systems with gain scheduled reference models

Content Provider	IEEE Xplore Digital Library
Author	Pakmehr, M. Yucelen, T.
Copyright Year	2014
Description	Author affiliation: Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Pakmehr, M.) \|\| Mech. & Aerosp. Eng. Dept., Missouri Univ. of Sci. & Technol., Rolla, MO, USA (Yucelen, T.)
Abstract	This paper develops a new model reference adaptive control approach for uncertain systems with gain scheduled reference models in a multi-input multi-output (MIMO) setting. Specifically, adaptive state feedback for output tracking control problem of MIMO nonlinear systems is studied and gain scheduled reference model system is used for generating desired state trajectories. Using convex optimization tools a single Lyapunov matrix is computed for multiple linearizations near equilibrium and non-equilibrium points of the nonlinear closed loop gain scheduled reference system. This approach guarantees stability of the closed-loop gain scheduled system. Adaptive state feedback control scheme is then developed, and its stability is proven. The resulting closed-loop system is shown to have bounded solutions with bounded tracking error, with the proposed stable gain scheduled reference model. Simulation results show that the developed adaptive controller can be used effectively to control a degraded turboshaft engine for large thrust commands, with guaranteed stability and proper tracking performance.
Starting Page	1322
Ending Page	1327
File Size	523932
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859322
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Engines Adaptation models Stability analysis Adaptive control Vectors Turbines Closed loop systems Control applications Aerospace Constrained control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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