Constrained reentry trajectory optimization based on improved particle swarm optimization algorithm

Xu Tianyun, Zhou Jun, Guo Jianguo, Lu Qing

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

Abstract

This paper proposes an improved particle swarm optimization (PSO) using "step-phase" adjustment strategy for inertia weight to generate the minimum time reentry trajectory for hypersonic reentry vehicles based on the parameterized bank angle profile. According to engineering experience, the velocity-dependent bank angle profile is developed using the "two-flip strategy", thereby reducing the dimensionality of particles. The reentry constraints are processed by penalty function. Especially, the no-fly zone (NFZ) constraint is enforced by extreme method that setting penalty weight to be an extremely large positive number on the condition that the trajectory passes through the NFZ. Simulation results illustrate that the improved PSO algorithm based on the parameterized bank angle profile proves to be capable to generate a complete and optimal three degrees of freedom (3-DOF) reentry trajectory rapidly.

Original languageEnglish
Title of host publicationSeventh Symposium on Novel Photoelectronic Detection Technology and Applications
EditorsJunhong Su, Junhao Chu, Qifeng Yu, Huilin Jiang
PublisherSPIE
ISBN (Electronic)9781510643611
DOIs
StatePublished - 2021
Event7th Symposium on Novel Photoelectronic Detection Technology and Applications - Kunming, China
Duration: 5 Nov 20207 Nov 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11763
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th Symposium on Novel Photoelectronic Detection Technology and Applications
Country/TerritoryChina
CityKunming
Period5/11/207/11/20

Keywords

  • End to end
  • Particle swarm optimization
  • Reentry trajectory

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