Optimal Cooperative Guidance Law for Salvo Attack: An MPC-Based Consensus Perspective

Shen Kang, Jianan Wang*, Guang Li, Jiayuan Shan, Ian R. Petersen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

86 Citations (Scopus)

Abstract

In this paper, a model-predictive-control (MPC)-based cooperative guidance law is presented to perform a salvo attack against a stationary target, which guarantees that multiple missiles hit the target simultaneously. Inspired by the concept of consensus in the multiagent systems, the impact time coordination is reformulated as a consensus on the ranges and range rates of the missiles, leading to a solution without explicitly exploiting the time-to-go or its estimate. By the virtue of an MPC framework, constraints on the normal acceleration and field-of-view are also addressed, and the finite-horizon optimality is guaranteed. Three numerical simulation cases are provided to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Article number8318665
Pages (from-to)2397-2410
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume54
Issue number5
DOIs
Publication statusPublished - Oct 2018

Keywords

  • Consensus for multiagent systems
  • cooperative guidance
  • model predictive control (MPC)
  • salvo attack

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