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UID:0-421@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20171106T163000

DTEND;TZID=Asia/Jerusalem:20171106T173000

DTSTAMP:20230530T180624Z

URL:https://aerospace.technion.ac.il/events/optimal-target-defensive-strat
 egies-against-multiple-pursuers/

SUMMARY:Optimal Target Defensive Strategies against Multiple Pursuers
DESCRIPTION:Lecturer:Zheng Wen Tan\n Faculty:Department of Aerospace Engine
 ering\n Institute:Technion – Israel Institute of Technology\n Location:C
 lassroom 165\, ground floor\, Library\, Aerospace Eng.\n Zoom: \n Abstract
 : \n Details: \n In this talk\, we will present our research on cooperativ
 e optimal defensive strategies in multiple-vehicle engagements. Specifical
 ly\, we consider the scenario in which two target aircraft are being pursu
 ed by two missiles. A novel defensive guidance law will be presented in wh
 ich the target pair maneuvers cooperatively to lure their pursuers into co
 llision. Unlike defensive strategies such as evasion or deploying defender
  missiles\, the proposed guidance law does not require the targets to have
  acceleration advantage over their pursuers nor do they need to carry addi
 tional missiles.\nThe talk will be split into two sections.  In the first
  section\, derivation of the cooperative guidance law based on linear quad
 ratic optimal control theory will be presented. The derivation of the opti
 mal cooperative strategy assumes that the pursuing missiles are using line
 ar guidance laws and all vehicles have constant speeds with arbitrary-orde
 r linear dynamics. We will demonstrate the performance of the cooperative 
 strategy when using perfect state information through a “collision map
 ”.  This map highlights the ability of the proposed guidance law to lur
 e the missiles into collision over a range of initial conditions. In the s
 econd part of the talk\, we will consider the case when the targets have i
 mperfect information on the missiles’ states and guidance laws. Here we 
 will present a decentralized estimation/ identification scheme that is bas
 ed on the multiple model adaptive estimation (MMAE) approach. However\, un
 like the conventional MMAE approach in which the number of required filter
 s for guidance law identification grows quadratically with the number of p
 ossible missile guidance strategies\, number of filters in the proposed sc
 heme only grows linearly and is computationally more efficient. Missile-mi
 ssile miss distance performance of the cooperative guidance law with estim
 ator-in-the-loop will be demonstrated through a Monte Carlo simulation stu
 dy in which we will also highlight its sensitivity to missile-target range
  estimation error.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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