4. FUZZY LOGIC CONTROLLER

4.1 Introduction

Fuzzy Logic provides a completely different approach. One can concentrate on solving the problem rather than trying to model the system mathematically, if that is even possible. This almost invariably leads to quicker, cheaper solutions. Once understood, this technology is not difficult to implement and the results are usually quite surprising and more than satisfactory.

Fuzzy logic is a complex mathematical method that allows solving difficult simulated problems with many inputs and output variables. Fuzzy logic is able to give results in the form of recommendation for a specific interval of output state, so it is essential that this mathematical method is strictly distinguished from the more familiar logics, such as Boolean algebra. This paper contains a basic overview of the principles of fuzzy logic.

4.2 Fuzzy Logic Control System

Fuzzy logic allows to lower complexity by allowing the use of imperfect information in sensible way. It can be implemented in hardware, software, or a combination of both. In other words, fuzzy logic approach to problems’ control mimics how a person would make decisions, only much faster.
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For example, speed can be represented by value 5 m/s or by description “slow”. Term “slow” can have different meaning if used by different persons and must be interpreted with respect to the observed environment. Some values are easy to classify, while others can be difficult to determine because of human understanding of different situations. One can say “slow”, while other can say “not fast” when describing the same speed. These differences can be distinguished with help of so-called fuzzy sets. Usually fuzzy logic control system is created from four major elements

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