Full-envelope fuzzy logic control

Abstract

This paper addresses the development of a full-envelope controller for nonlinear systems based on the fusion of ideas from linear control theory and fuzzy logic. The term model-based fuzzy Logic control has been coined to describe this dynamic compensation approach. The model-based fuzzy logic controller is essentially a bank of fuzzy logic controllers with the composite control input smoothed by a linear compensator. The proper fuzzy controller in the bank is chosen by a measurement of the magnitude of the reference input, and the linear compensator is determined based on a linearized model of the nonlinear plant. It is shown that the resulting controller provides full-envelope control of the highly nonlinear benchmark plant.<>