Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

Weidong Zhang, Xianlin Huang, Xiaozhi Gao, Hongjun Pang

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

1 Citation (Scopus)


For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
Number of pages7
ISBN (Electronic)9789881563897
Publication statusPublished - 11 Sep 2015
MoE publication typeA4 Article in a conference publication
EventChinese Control Conference - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015
Conference number: 34


ConferenceChinese Control Conference
Abbreviated titleCCC


  • energy-like dynamic equations
  • multi-objective trajectory optimization
  • NLP problem
  • PSO algorithm


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