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

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 state feedback model reference adaptive control approach for uncertain systems with gain scheduled reference models in a multi-input multi-output (MIMO) setting with constrained control inputs. A single Lyapunov matrix is computed for multiple linearizations of the nonlinear closed-loop gain scheduled reference system, using convex optimization tools. This approach guarantees stability of the closed-loop gain scheduled reference model. Adaptive state feedback control architecture is then developed, and its stability is proven for the case with constrained control inputs. The resulting closed-loop system is shown to have bounded solutions with bounded tracking error, with the proposed stable gain scheduled reference model. Sufficient conditions for ultimate boundedness of the closed-loop system are derived. A semi-global stability result is proved with respect to the level of saturation for open-loop unstable plants while the stability result is shown to be global for open-loop stable plants. 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	691
Ending Page	696
File Size	505744
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859326
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	Adaptation models Engines Stability analysis Adaptive control Vectors Closed loop systems Mathematical model Control applications Aerospace Constrained control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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