Title :
Hierarchical fuzzy neural attitude control for satellites
Author :
Pedrycz, W. ; Peters, J.F. ; Ramanna, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
The architecture for a hierarchical fuzzy neural attitude controller for satellites based on fuzzy gain scheduling is presented. A brief overview of fuzzy controller theory leading up to the creation of this new algorithm for attitude control is given. Inferencing based on decision tables for fuzzy controllers is made possible with the introduction of AND as well as OR fuzzy neurons. The construction of a hierarchical fuzzy neural attitude controller for satellites becomes the result of patching local (linear) controllers. The attitude control policy is then expressed as a series of “if-then” rules written in terms of local controller parameters and fuzzy relations used to invoke specific control actions. Each fuzzy relation is primarily correlated with the capabilities of a local linear model
Keywords :
aerospace control; artificial satellites; attitude control; control system synthesis; fuzzy control; fuzzy neural nets; hierarchical systems; inference mechanisms; neurocontrollers; step response; OR fuzzy neurons; attitude control algorithm; controller architecture; decision tables; fuzzy gain scheduling; fuzzy relations; hierarchical fuzzy neural attitude control; if-then rules; inferencing; local controller parameters; local linear model; loop structure; membership functions; nadir-pointing; patching linear controllers; pitch control; satellites; step response; Attitude control; Control engineering; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Job shop scheduling; Neurons; Niobium; Satellites;
Conference_Titel :
Aerospace Conference, 1997. Proceedings., IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-3741-7
DOI :
10.1109/AERO.1997.574893
