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A Fuzzy Human Pilot Model of Longitudinal Control for a Carrier Landing Task

  • Chen Chen*
  • , Wen Qian Tan
  • , Xiang Ju Qu
  • , Hai Xu Li
  • *Corresponding author for this work
  • Beihang University
  • China State Shipbuilding Corporation

Research output: Contribution to journalArticlepeer-review

Abstract

Human pilot models are tightly dependent on the specific flight tasks. For a carrier landing task, the human pilot controls the aircraft glide path by the guidance information from the Fresnel lens optical landing system (FLOLS) during the aircraft approach to the carrier. This paper focuses on the modeling of the human pilot behavior of sensing and recognizing the guidance information from the Fresnel lens of the FLOLS in longitudinal motion. A fuzzy human pilot model is built based on a fuzzy logic control theory to simulate the human pilot behavior. The simulations of carrier landing are conducted to illustrate the advantages and effectiveness of the proposed fuzzy human pilot model.

Original languageEnglish
Article number8060539
Pages (from-to)453-466
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume54
Issue number1
DOIs
StatePublished - Feb 2018

Keywords

  • Carrier landing
  • Fresnel lens optical landing system (FLOLS)
  • fuzzy logic control
  • human pilot model

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