Application of Gaussian complex wavelet in PIO detection

Fu li Tian, Zheng hong Gao, Zhi gang Yu

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

1 Scopus citations

Abstract

The validity and feasibility of Gaussian complex wavelet time-frequency analysis for identifying the Pilot Induced Oscillations (PIO) are studied. The time-frequency relationship of Gaussian complex wavelet is researched, and both Gaussian and Hyperbola-Gaussian complex wavelet filters are structured. A set of the character and judging rules for identifying PIO is determined. An event of flight recorded lateral PIO time history are processed and analyzed for demonstrating the feasibility of real time PIO detection. The results indicate that both Gaussian and Hyperbola-Gaussian complex wavelets can identify PIO accurately, but the later is better in real-time PIO detecting. The roll rate is more effective than roll angle in timely PIO detection.

Original languageEnglish
Title of host publicationICAS-Secretariat - 25th Congress of the International Council of the Aeronautical Sciences 2006
PublisherInternational Council of The Aeronautical Sciences (ICAS)
Pages3116-3123
Number of pages8
ISBN (Print)9781604232271
StatePublished - 2006
Event25th Congress of the International Council of the Aeronautical Sciences 2006 - Hamburg, Germany
Duration: 3 Sep 20068 Sep 2006

Publication series

NameICAS-Secretariat - 25th Congress of the International Council of the Aeronautical Sciences 2006
Volume5

Conference

Conference25th Congress of the International Council of the Aeronautical Sciences 2006
Country/TerritoryGermany
CityHamburg
Period3/09/068/09/06

Keywords

  • Hyperbola-Gaussian Complex Wavelet
  • Pilot Induced Oscillation Detection
  • Wavelet Time-Frequency Analysis

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