I)dvanced man actmng |echnoiogy A PID-type Fuzzy Controller Model for Machine Control Applications
Lei Zhu, Dario Toncich, Romesh Nagarajah · 1997
This paper introduces a PID-like fuzzy controller model, which consists of only five fuzz)' rules. Each fuzzy rule is designed to carry out a single control task. A self-learning procedure is used to determine the input scale factor for auto-tuning the system. A new performance criterion is suggested as an object function for the auto-tuning procedure. The features of this' fuzzy controller, used in position control applications, are demonstrated by the simulation results of two different types of plants - a d.c. motor and an inverted pendulum.