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Observer‐based synthesis of linear parameter‐varying mixed sensitivity controllers
Author(s) -
Theis Julian,
Pfifer Harald
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5038
Subject(s) - control theory (sociology) , observer (physics) , aeroelasticity , sensitivity (control systems) , output feedback , lyapunov function , flutter , computer science , state observer , controller (irrigation) , control engineering , control (management) , engineering , nonlinear system , aerodynamics , agronomy , physics , quantum mechanics , artificial intelligence , electronic engineering , biology , aerospace engineering
Summary This article presents a computationally efficient way of synthesizing linear parameter‐varying (LPV) controllers. It reviews the possibility of a separate observer and state feedback synthesis with guaranteed performance and shows that a standard mixed sensitivity problem can be solved in this way. The resultant output feedback controller consists of an LPV observer, augmented with dynamic filters to incorporate integral control and roll‐off properties, and an LPV state feedback gain. It is thus highly structured, which is beneficial for implementation. Moreover, it does not depend on scheduling parameter rates regardless of whether parameter‐dependent Lyapunov matrices are used during synthesis. A representative control design for active flutter suppression on an aeroelastic unmanned aircraft demonstrates the benefits of the proposed method in comparison with state‐of‐the‐art LPV output feedback synthesis.