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UID:0-217@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20210818T133000

DTEND;TZID=Asia/Jerusalem:20210818T143000

DTSTAMP:20230403T122844Z

URL:https://aerospace.technion.ac.il/events/synthesis-of-linear-robust-con
 trollers-for-flutter-suppression-with-performance-and-uncertainty-specific
 ations-tuned-by-genetic-algorithms/

SUMMARY:Synthesis of Linear Robust Controllers for Flutter Suppression with
  Performance and Uncertainty Specifications Tuned by Genetic Algorithms
DESCRIPTION:Lecturer:Noam Yechiely\n Faculty:Department of Aerospace Engine
 ering\n Institute:Technion – Israel Institute of Technology\n Location:C
 lassroom 165\, ground floor\, Library\, Aerospace Eng. & https://technion.
 zoom.us/j/95436734611\n Zoom: \n Abstract: \n Details: \n Aircraft structu
 res\, specifically wings\, are inherently flexible\, resulting in aeroelas
 tic interactions between the deformed configuration and the aerodynamic fo
 rces acting on it. One such aeroelastic interaction is flutter - a self-su
 stained oscillation phenomenon that often leads to structural failure. Sin
 ce flutter might be destructive\, it is commonly avoided by restricting th
 e flight envelope to flutter-free regions. Flutter in the flight envelope 
 can be avoided by using Active Flutter Suppression (AFS) technologies that
  push the flutter onset to higher dynamic pressure values. Several recent 
 studies investigated the use of linear control design methods in AFS syste
 ms\, where the design method for the controller includes optimal and robus
 t control techniques. The major drawback of those methods is that they are
  limited to linear design models and requirements.\nThe current study focu
 ses on developing a method for linear controller synthesis that accounts f
 or nonlinear design specifications. This is done using external nonlinear 
 optimization that modifies the synthesis set-up to achieve improved (nonli
 near) performance and selection of an optimal controller via Genetic Algor
 ithm (GA) optimization. The method is demonstrated on the Active Aeroelast
 ic Aircraft Testbed (A3TB)\, a flying-wing UAV platform that experienced f
 lutter in flight. The seminar will present the aeroelastic modelling of th
 e aircraft\, aeroservoelastic analyses\, nominal AFS controller design\, a
 nd GA-based controller tuning. The optimization was successfully performed
 \, increasing the flutter speed onset of the closed-loop system from 29 to
  61 m/s\, which is outside the flight envelope.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng. & https://
 technion.zoom.us/j/95436734611

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