This document describes using a fuzzy logic controller to control the speed of a DC motor. It begins by introducing fuzzy logic and how it works, explaining linguistic variables and fuzzy sets. It then details the structure of a fuzzy logic controller, including fuzzification to convert real inputs to fuzzy values, an inference engine to apply fuzzy rules, and defuzzification to convert fuzzy outputs to real values. The document provides an example of a temperature control system to illustrate these concepts. It concludes by describing the advantages of fuzzy control over conventional techniques for applications like DC motor speed control.