A Game-Based Guidance Law Against Higher-Speed Maneuvering Penetrator Using Model Predictive Method

Xiaofei Chang, Bo Sun, Jie Yan, Wenxing Fu

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

Abstract

To intercept higher-speed maneuvering target, interception modes are analyzed and head-on posture with maneuverable advantage of interceptor is determined to be the prerequisite. A differential game-based guidance law is proposed under the framework of model predictive control. Gradient-iteration algorithm subject to input constraints is implemented for on-line optimization with respect to a composite objective functional consisting of line-of-sight rate and fuel consumption. Algorithm's effectiveness for obtaining saddle points of the game is derived on some preconditions. The numerical simulation results show the importance of choosing suitable cost weights and validate the performance of the guidance law. The accessible zone against higher-speed maneuvering penetrator involving varying initial conditions is computed by assuming the other vehicle moves optimally.

Original languageEnglish
Title of host publicationProceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages183-189
Number of pages7
ISBN (Electronic)9781538672297
DOIs
StatePublished - 18 Sep 2018
Event9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018 - Budapest, Hungary
Duration: 10 Jul 201813 Jul 2018

Publication series

NameProceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018

Conference

Conference9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018
Country/TerritoryHungary
CityBudapest
Period10/07/1813/07/18

Keywords

  • differential game
  • gradient-iteration
  • higher-speed target
  • predictive method

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