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)

Abstract

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
Pages2350-2356
Number of pages7
Volume2015-September
ISBN (Electronic)9789881563897
DOIs
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

Conference

ConferenceChinese Control Conference
Abbreviated titleCCC
CountryChina
CityHangzhou
Period28/07/201530/07/2015

Keywords

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

Fingerprint Dive into the research topics of 'Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm'. Together they form a unique fingerprint.

Cite this