Premium
Robust control design for the FLEXOP demonstrator aircraft via tensor product models
Author(s) -
Takarics Béla,
Vanek Bálint
Publication year - 2021
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2547
Subject(s) - control theory (sociology) , aeroelasticity , linear fractional transformation , robust control , flutter , parametric statistics , engineering , flight control surfaces , control engineering , controller (irrigation) , model transformation , convex optimization , parametric model , aerodynamics , control system , computer science , regular polygon , control (management) , mathematics , aerospace engineering , agronomy , statistics , electrical engineering , consistency (knowledge bases) , geometry , artificial intelligence , biology
The paper proposes a control design methodology for active flutter suppression for the aeroservoelastic (ASE) aircraft of the European project FLEXOP. The aim of the controller is to robustly stabilize the aeroelastic modes. The control design is based on a control‐oriented linear parameter‐varying (LPV) model, which is derived via “bottom–up” modeling approach and includes the parametric uncertainties of the flutter modes. The tensor product (TP) type LPV model is generated via TP model transformation. The symmetric and asymmetric flutter modes are decoupled, which allows independent control design for each. LPV observer‐based state feedback control structure is applied with constraints on the maximal control value to avoid input saturation. The scheduling parameters of the TP‐type LPV models are split into measured and uncertain parameters for robust control design. Convex hull manipulation‐based optimization and model complexity effects are investigated. The resulting controller is validated via the high‐fidelity ASE model of the FLEXOP aircraft.