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Cultural algorithm based on Particle Swarm Optimization for clearance of flight control law

  • Wenyue Meng*
  • , Chen Wei
  • , Jie Tang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

A multiple optimization algorithm, the Cultural Algorithm based on Particle Swarm Optimization (CAPSO) was applied to flight control law clearance. The algorithm provides a more accurate performance in function optimization when compared with the traditional Particle Swarm Optimization (PSO). A short-period of longitudinal flight control system for a certain aircraft was designed before the validation. Two representative linear criterions were considered. The results indicate that the proposed algorithm provides an effective approach in search for worst combinations of parametric model uncertainties during process of flight clearance.

Original languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages418-423
Number of pages6
DOIs
StatePublished - 2011
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 21 Jun 201123 Jun 2011

Publication series

NameProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Conference

Conference2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/TerritoryChina
CityBeijing
Period21/06/1123/06/11

Keywords

  • Cultural Algorithm
  • Particle Swarm Optimization
  • clearance
  • worst combine of parameters

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