Aero-thermal heating constrained midcourse guidance using state-constrained model predictive static programming method

Bin Fu, Hang Guo, Kang Chen, Wenxing Fu, Xingyu Wu, Jie Yan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper proposes a multiple-constraints-guaranteed midcourse guidance law for the interception of the hypersonic targets. In traditional midcourse law design, the constraints of the aero-thermal heating are rarely taken into consideration. The performance of the infrared detection system may be degraded and the instability of the flight control system may be induced. To address this problem, a state-constrained model predictive static programming method is introduced such that both terminal constraints (position and angle) and optimal energy consumption can be ensured. As a result, a sub-optimal midcourse guidance, guaranteeing the aforementioned multiple-constraints to be never violated, is synthesized. Simulation results demonstrate the effectiveness of the proposed method.

Original languageEnglish
Article number8599107
Pages (from-to)1263-1270
Number of pages8
JournalJournal of Systems Engineering and Electronics
Volume29
Issue number6
DOIs
StatePublished - Dec 2018

Keywords

  • midcourse guidance
  • model predictive control
  • optimal control
  • state constraint

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