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The identification of unmanned helicopter based on niche genetic algorithm

  • Northwestern Polytechnical University Xian

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

2 Scopus citations

Abstract

To design a reliable high-performance fight control system, an accurate model of the helicopter is required. While the movement of the helicopter is very complicated, it is very difficult to identify the complete model of helicopter by the traditional methods. In this paper, an identifying method based on niche genetic algorithm ( NGA ) is proposed. In this method, the problem of identification is transformed into an optimization that can be solved by genetic algorithm. To avoid the premature of GA, a niche genetic algorithm based on sharing scheme is adopted. In order to test the identifying method based on NGA, an identification of a kind of unmanned helicopter's model is done. The result shows that the accurate completer model can be obtained by the identifying method proposed in this paper.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008
Pages725-729
Number of pages5
DOIs
StatePublished - 2008
EventIEEE International Conference on Automation and Logistics, ICAL 2008 - Qingdao, China
Duration: 1 Sep 20083 Sep 2008

Publication series

NameProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008

Conference

ConferenceIEEE International Conference on Automation and Logistics, ICAL 2008
Country/TerritoryChina
CityQingdao
Period1/09/083/09/08

Keywords

  • Identification
  • NGA
  • Unmanned helicopter

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