Design of FLC for High-Angle-of-Attack Flight Using Adaptive Evolutionary Algorithm

• Published in: Journal of mechanical science and technology Vol. 17; no. 2; pp. 187 - 196
• Main Authors: WON, Tae-Hyun, HWANG, Gi-Hyun, JUNE HO PARK, MAN HYUNG LEE
• Format: Journal Article
• Language: English
• Published: Seoul 대한기계학회 01.02.2003; Korean Society of Mechanical Engineers; Springer Nature B.V
• Subjects: Adaptive algorithms; Aerodynamics; Applied fluid mechanics; Applied sciences; Computer science; control theory; systems; Computer simulation; Control system synthesis; Control systems design; Control theory. Systems; Evolutionary algorithms; Exact sciences and technology; Fluid dynamics; Fundamental areas of phenomenology (including applications); Fuzzy control; Fuzzy logic; Genetic algorithms; Military aircraft; Physics; Reproduction; Scaling factors; Searching; Studies; Fuzzy logic; Adaptive algorithm; Evolutionary algorithm; Size effect; Pitch angle; Control synthesis; Modelling; Fight aircraft; Aircraft; Genetic algorithms; Theft
• ISSN: 1738-494X; 1226-4865; 1976-3824
• DOI: 10.1007/BF02984389

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 udaptively modulated according to the fitness. AEA is used for 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.