Fuzzy Logic Controller Design

Abstract

Fuzzy Logic control (FLC) is one of the three basic approaches to intelligent control, the others are: knowledge-based expert systems and neural networks. In this thesis, the differences between classical control and intelligent control theories were introduced, including the control system design procedure in both of them. The main objective of this thesis is to illustrate the basic structure of FLC controllers and their different ways of implementations, taking the direct control scheme – non-adaptive – structure in detail. The design of a direct digital fuzzy logic controller for the speed control system model (PC based control of a PM DC motor with microcontroller embedded software) was considered. The results of which – when compared with the results of classical PID controller – shows the superior of FLC over the classical PID controller.