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UID:0-440@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20230626T133000

DTEND;TZID=Asia/Jerusalem:20230626T143000

DTSTAMP:20230531T084144Z

URL:https://aerospace.technion.ac.il/events/optimal-trajectory-for-a-hyper
 sonic-scramjet-missile-with-a-non-convex-control-set/

SUMMARY:Optimal Trajectory for a Hypersonic Scramjet Missile with a Non-Con
 vex Control Set
DESCRIPTION:Lecturer:Sahar Shachar \n Faculty:Department of Aerospace Engin
 eering\n Institute:Technion – Israel Institute of Technology\n Location:
 Classroom 165\, ground floor\, Library\, Aerospace Eng.\n Zoom: https://te
 chnion.zoom.us/j/97346140543\n Abstract: Optimal control problems (OCPs) h
 ave wide-ranging applications across various industries\, including aerosp
 ace technologies. Currently\, there is significant interest in Hypersonic 
 Cruise Missiles (HCMs) as cutting-edge weapons developed by major military
  powers. This study focuses on solving the maximum range OCP for such a mi
 ssile. The chosen controls are the angle-of-attack (AOA) and fuel flow of 
 the Scramjet engine. This research is the first to address the maximum ran
 ge problem with a unique relationship between the controls\, allowing the 
 engine to make decisions regarding activation or deactivation. When the en
 gine is activated\, the AOA must be limited due to engine limitations\, bu
 t when deactivated\, a larger AOA is enabled.\n\nThe suggested relation is
  expressed as Vanishing Constraints\, where the control set becomes non-co
 nvex\, and the linear independent constraint qualification is failing\, ma
 king it challenging to solve. To overcome this problem\, we present a modi
 fied variable time transformation (VTT) method to deal numerically with th
 ese problems.\n\nThe HCM problem with the suggested relation was solved us
 ing the VTT and by directly implementing the OCP into existing optimizatio
 n software. Both methods yielded very similar trajectories\, confirming th
 e VTT’s validity. All the problems were solved numerically using the FAL
 CON optimization tool.\n Details: \n 
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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