TY - GEN
T1 - Sensitivity of Robust Flutter Suppression to Control Design Specifications
AU - Yechieli, Noam
AU - Raveh, Daniella E.
AU - Idan, Moshe
N1 - Publisher Copyright: © 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This paper describes the design of the robust flutter suppression controller for the Active Aeroelastic Aircraft Testbed-a flying-wing UAV platform designed for aeroelastic studies and the development of aeroelastic control technologies, developed at Technion Israel Institute of Technology. In particular, this study focuses on the parametric sensitivity of the flutter suppression to the tuning parameters of the H∞ robust controller. The design is centered around the formulation of a generalized plant, in which dynamic components, in the form of weighted signals, are introduced to account for physical considerations of performance, perturbations, and limitations of the controller. Design parameters are added to the generalized plant to form a tunable robust flutter suppression controller synthesis framework. Finally, nonlinear criteria for quantifying the controller performance are defined. The study shows that while a design with nominal physical parameters can provide good performance, significant enhancement can be obtained by additional simple parametric tuning.
AB - This paper describes the design of the robust flutter suppression controller for the Active Aeroelastic Aircraft Testbed-a flying-wing UAV platform designed for aeroelastic studies and the development of aeroelastic control technologies, developed at Technion Israel Institute of Technology. In particular, this study focuses on the parametric sensitivity of the flutter suppression to the tuning parameters of the H∞ robust controller. The design is centered around the formulation of a generalized plant, in which dynamic components, in the form of weighted signals, are introduced to account for physical considerations of performance, perturbations, and limitations of the controller. Design parameters are added to the generalized plant to form a tunable robust flutter suppression controller synthesis framework. Finally, nonlinear criteria for quantifying the controller performance are defined. The study shows that while a design with nominal physical parameters can provide good performance, significant enhancement can be obtained by additional simple parametric tuning.
UR - http://www.scopus.com/inward/record.url?scp=85122937905&partnerID=8YFLogxK
U2 - 10.2514/6.2022-0526
DO - 10.2514/6.2022-0526
M3 - منشور من مؤتمر
SN - 9781624106316
T3 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
BT - AIAA SciTech Forum 2022
T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Y2 - 3 January 2022 through 7 January 2022
ER -