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Time-Delay Margin Analysis for an Adaptive Controller
Author(s) -
Andrei Dorobantu,
Peter Seiler,
Gary Balas
Publication year - 2012
Publication title -
journal of guidance control and dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.573
H-Index - 143
eISSN - 1533-3884
pISSN - 0731-5090
DOI - 10.2514/1.56719
Subject(s) - control theory (sociology) , computer science , controller (irrigation) , margin (machine learning) , control engineering , engineering , artificial intelligence , control (management) , machine learning , agronomy , biology
robustness analysis tools are applied to adaptive flight control in this paper. A standard model reference adaptive controller with sigma modification is designed for a linear short-period aircraft model. The resulting nonlinear closed-loop system is governed by polynomial dynamics. The nonlinear analysis algorithms rely on sum-of-squares polynomial optimization to assess the robustness of the adaptive closed-loop system with respect to a time delay. Time-delaymarginsarecomputedforvariouscombinationsofdesignparametersintheadaptivecontrollaw,aswell as in the presence of parametric model uncertainty. Advantages and limitations of the proposed sum-of-squaresbased robustness analysis are presented. Analysis results show a significant promise in the context of recent development in nonlinear robustness analysis. I. Introduction A DAPTIVEcontrolhasthepotentialtoimprovetheperformance and reliability of aircraft systems. Typical adaptive control architectures are inherently nonlinear, which presents a number of challenges. There is currently a lack of tools available to rigorously analyze the robustness and performance of nonlinear control architectures. The inability toverifyrobustnessand performance is a significant roadblock to the implementation of adaptive control architectures on civilian andmilitary aircraft. Thus, the flight control community would greatly benefit from advances in the area of

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