Title :
A hybrid fuzzy logic and neural network controller for spacecraft docking system
Author :
Chen Xinhai ; Chen Genshe ; Yang Lixin ; He Shichen
Author_Institution :
Coll. of Astronaut., Northwestern Polytech. Univ., Xian, China
Abstract :
A new hybrid fuzzy logic and neural network control architecture is proposed and its application to attitude control of a spacecraft docking system is described. The controller uses fuzzy logic control to construct a knowledge base of control rules and learns by updating its prediction of the physical systems behavior and fine tuning a control knowledge base. It is applicable to control problems for which the analytical models of the process are unknown.<>
Keywords :
aerospace control; attitude control; fuzzy control; intelligent control; knowledge based systems; learning (artificial intelligence); neural nets; uncertainty handling; analytical models; approximate reasoning; attitude control; control knowledge base; fuzzy logic; fuzzy logic control; knowledge base; learning; neural network controller; nonlinear control problem; spacecraft docking system; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Helium; Multi-layer neural network; Neural networks; Power system modeling; Space vehicles; Tin;
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.1993.320151
