Fuzzy adaptive control of airborne electro-optical tracking systems based on variable universe

Song Gao, Xiaoxia Xu, Qinkun Xiao, Quan Pan

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

Abstract

In order to improve the control performance of airborne EO tracking systems, we develop a proposed variable universe control algorithm based on fuzzy reasoning. The algorithm combines a new fuzzy control algorithm with classic PID control algorithm and greatly improves the dynamic performance of the airborne EO tracking systems. The simulation results indicate that the adaptive fuzzy controller can ensure the precision of the system with better adaptability and robustness.

Original languageEnglish
Title of host publicationManufacturing Science and Technology
Pages5972-5977
Number of pages6
DOIs
StatePublished - 2012
Event2011 International Conference on Manufacturing Science and Technology, ICMST 2011 - Singapore, Singapore
Duration: 16 Sep 201118 Sep 2011

Publication series

NameAdvanced Materials Research
Volume383-390
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Manufacturing Science and Technology, ICMST 2011
Country/TerritorySingapore
CitySingapore
Period16/09/1118/09/11

Keywords

  • Adaptive control
  • Airborne electro-optical tracking systems
  • Fuzzy control
  • Variable universe

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