Trajectory optimization of aircraft tactical engagement based on model prediction control

An Xu, De Yun Zhou, Ying Xin Kou, Zhan Wu Li, You Li

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

2 Scopus citations

Abstract

The maneuvering decision in beyond visual range (BVR) is very important for aircraft with middle-range missiles and advanced avionics. A model with attack region and threat region is proposed to describe the air combat problem. Then a new model prediction control (MPC) scheme to solve the real-time trajectory optimization problem in air combat is introduced and the numerical solution with direct multiple shooting (DMSM) method is proposed. The simulation shows that this scheme is efficient in air combat maneuvering decision.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Robots and Intelligent System, ICRIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages52-55
Number of pages4
ISBN (Electronic)9781538665800
DOIs
StatePublished - 11 Jul 2018
Event2018 International Conference on Robots and Intelligent System, ICRIS 2018 - Changsha, China
Duration: 26 May 201827 May 2018

Publication series

NameProceedings - 2018 International Conference on Robots and Intelligent System, ICRIS 2018

Conference

Conference2018 International Conference on Robots and Intelligent System, ICRIS 2018
Country/TerritoryChina
CityChangsha
Period26/05/1827/05/18

Keywords

  • Air combat decision
  • Model prediction control
  • Nonlinear programming (NLP)
  • Trajectory optimization

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