Fuzzy control simulation research of airplane nose wheel steering turning system

Zhao Hui Yuan, Juan Zhang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The fuzzy control method of airplane nose wheel steering turning based on improved immune genetic algorithm was researched. Aiming at the airplane with three-wheel undercarriage, the nonlinear mathematical model of the nose wheel steering turning system was established. The proposed algorithm which combined the immune algorithm, genetic algorithm and the niche technology, overcame the imperfection of simple genetic algorithm. The new GA controller could optimize the fuzzy control parameters and the simulation results of the nose wheel steering turning system are satisfactory.

Original languageEnglish
Pages (from-to)4509-4513
Number of pages5
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume20
Issue number17
StatePublished - 5 Sep 2008

Keywords

  • Fuzzy control
  • Genetic algorithm
  • Immune algorithm
  • Nose wheel steering turning

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