A mixed L2/L∞ differential game approach to pursuit-evasion guidance

Shmuel Y. Hayoun, Martin Weiss, Tal Shima

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A differential game based strategy, L2/L∞ guidance law, is derived for a missile with large lateral acceleration capability intercepting an evading target which has limited lateral acceleration capability. Planar motion, linearized kinematics, arbitrary-order linear adversaries' dynamics, and perfect information are assumed. The engagement is formulated as a two-person zero-sum pursuit-evasion game with a linear quadratic cost, where only the maneuverability of the evader is assumed bounded. The open loop solution is derived via direct derivation of the game's lower and upper values and the saddle point condition. It is shown that the existence of an open loop saddle point solution depends on the engagement's initial conditions. A closed form guidance law is formulated, consisting of the optimal saddle point strategies and three proposed variants when no saddle point solution exists. Linear simulations are performed for the case of a pursuer with first order control dynamics and an evader with zero-lag dynamics, in order to illustrate the L2/L∞ guidance law's implementation benefits and performance in comparison with a classical optimal guidance law.

Original languageEnglish
Title of host publication54rd IEEE Conference on Decision and Control,CDC 2015
Pages5203-5208
Number of pages6
ISBN (Electronic)9781479978861
DOIs
StatePublished - 8 Feb 2015
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: 15 Dec 201518 Dec 2015

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume54rd IEEE Conference on Decision and Control,CDC 2015

Conference

Conference54th IEEE Conference on Decision and Control, CDC 2015
Country/TerritoryJapan
CityOsaka
Period15/12/1518/12/15

Keywords

  • Acceleration
  • Game theory
  • Games
  • Kinematics
  • Mathematical model
  • Upper bound
  • Yttrium

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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