Title :
Improved fuzzy logic controller using genetic algorithm and its application to spacecraft rendezvous
Author :
Chen Genshe ; Chen Xinhai
Author_Institution :
Coll. of Astron., Northwestern Polytech. Univ., Xian, China
Abstract :
This paper introduces a new method for learning high-performance fuzzy membership functions for a fuzzy logic controller using genetic algorithms (GAs). GAs are search procedures which duplicate many of the processes of nature genetics. The membership functions learned by the genetic algorithm provide for a more, efficient fuzzy logic controller than membership functions selected by the subject decision. The approach is applied to a spacecraft rendezvous problem.<>
Keywords :
aerospace control; fuzzy control; genetic algorithms; fuzzy logic controller; genetic algorithm; high-performance fuzzy membership functions; search procedures; spacecraft rendezvous; Control systems; Educational institutions; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Hybrid intelligent systems; Nominations and elections; Space vehicles;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320492
