Hierarchical fuzzy neural attitude control for satellites

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