Optimization of flight controller parameters based on PSO-immune algorithm

Xun Sun, Wei Guo Zhang, Wei Yin, Ai Jun Li

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A PSO-Immune algorithm was proposed. In this method, the reproduction strategy based on density of immune algorithm was connected with the PSO algorithm to promote the particle whose density is low and to limit the particle whose density is high. In that way, the multiplicity of the particles is maintained and trapping in local minimum is avoided. The flight controller parameters were optimized using this method. The simulation results show that the good flight control performance is obtained compared with traditional trail-and-error method and the design efficiency is increased.

Original languageEnglish
Pages (from-to)2765-2767
Number of pages3
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume19
Issue number12
StatePublished - 20 Jun 2007

Keywords

  • Flight control
  • Immune algorithm
  • Optimization
  • Particle Swarm Optimization (PSO)

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