ABSTRACT
This chapter presents a knowledge-based tuning procedure for servomotors. To demonstrate the use of an uncoupled rule base in a realistic application, and to study the effect of uncoupled rules, the experimental DC servomotor system of knowledge-based tuning that was described in the chapter is used. The chapter develops an intelligent tuner for a servo motor. It also develops an analytical framework for decoupling such a rule base, with specific reference to fuzzy-logic control. The computational problem of fuzzy-logic control is greatly simplified through the use of an uncoupled rule base. The chapter formulates the general fuzzy logic control problem with a coupled rule base. It employs the laboratory prototype of single-axis servo motor system which incorporated a knowledge-based tuner to demonstrate the effective use of an uncoupled rule base that is equivalent to a coupled one.
