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Chaos based fuzzy neural networks control for aeroengines

  • Sheng Li Hou
  • , Yun Wu
  • , Jian Xun Liu
  • , Ying Hong Li
  • Air Force Engineering University Xian

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The fuzzy rule and the weights in fuzzy neural networks controller are difficult to determine. In consideration of this problem, a kind of control scheme optimized via chaos algorithm was put forward for the aircraft engines. The chaos algorithm was applied to the design of the aeroengine control system to optimize the parameters of the fuzzy neural networks controller. The simulation results show that not only the design of the aeroengine fuzzy PID controller is improved by the chaos algorithm, but also the fuzzy neural networks controller behaves effectively.

Original languageEnglish
Pages (from-to)494-498
Number of pages5
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume20
Issue number3
StatePublished - Jun 2005
Externally publishedYes

Keywords

  • Aeroengine control
  • Aerospace propulsion system
  • Chaos optimization
  • Fuzzy neural networks

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