Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Design of FLC for High-Angle-of-Attack Flight Using Adaptive Evolutionary Algorithm

  • Won, Tae-Hyun (Department of Electrical Engineering, Dongeui Institute of Technology) ;
  • Hwang, Gi-Hyun (Department of Electrical Engineering, Pusan National University) ;
  • Park, June-Ho (Department of Electrical Engineering, Pusan National University) ;
  • Lee, Man-Hyung (School of Mech. Eng. & ERC/Net Shape and Die Manufacturing, Pusan National University)
  • Published : 2003.02.01
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Abstract

In this paper, a new methodology of evolutionary computations - An Adaptive Evolutionary Algorithm (AEA) is proposed. AEA uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations : global search capability of GA and local search capability of ES. In the reproduction procedure, the proportions of the population by GA and ES are adaptively modulated according to the fitness. AEA is used to. designing fuzzy logic controller (FLC) for a high-angle-of-attack flight system for a super-maneuverable version of F-18 aircraft. AEA is used to determine the membership functions and scaling factors of an FLC. The computer simulation results show that the FLC has met both robustness and performance requirements.

Keywords

References

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