MPC three-dimensional dynamic path planning for UAV based on DBN threat assessment

Xiao Guang Gao, Qing Yuan Li, Ruo Hai Di

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The model predictive control (MPC) path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV) path planning. Dynamic Bayesian network (DBN) is an effective tool for reasoning and threat assessment. Considering the problem of path planning when the dynamic threat tags the UAV, the MPC path planning algorithm combined with DBN threat assessment is presented, which used the threat lever probability to describe the threat situation. A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.

Original languageEnglish
Pages (from-to)2199-2205
Number of pages7
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume36
Issue number11
DOIs
StatePublished - 1 Nov 2014

Keywords

  • Dynamic Bayesian network(DBN)
  • Dynamic threat assessment
  • Model predictive control (MPC)
  • Path planning
  • Unmanned aerial vehicle (UAV)

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