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Asociado certificado

FU-800-3 - Fuzzy Logic


Objectives

Fuzzy logic is a growing world technology. Developed to succeed where PID and advanced mathematics have failed, fuzzy logic is an interesting alternative when conventional process control techniques are ineffective.
Who should attend

Anyone who wishes to familiarize themselves with this new technology.
Schedule

From 8:30 am to noon and from 1:00 pm to 4:30 pm

Each day
Content

Day 1 : Introduction

Introduction
  • Goals, objectives, basic notation
  • Comparison between traditional logic and fuzzy logic
  • Definitions
  • Real-life examples
Industrial and commercial applications
  • Fuzzy logic applications
  • Applications
  • Advantages and disadvantages
Neural networks
  • Introduction
  • Links with fuzzy logic
  • Parallel processing, fuzzy mathematics
History
  • Acceptance of fuzzy logic
  • Chronology
  • The 1990's
  • Real-life situations
General theory
  • Traditional and fuzzy theory
  • Logic operators
  • Traditional algebraic Boolean laws
  • Fuzzy theory
  • Fuzzy approach and mathematics
Fuzzy control and tuning
  • Introduction
  • Process control and tuning
  • Primary controllers and their structures
  • Exercises using PID and fuzzy controllers


Day 2 : Fuzzy controllers

Simplified fuzzy controllers
  • Structure of fuzzy controllers
  • Data conversion of fuzzy values
  • Evaluation of rules
  • Conversion of fuzzy results to numerical values
  • Tuning, choice of related functions
  • Exercises : inverted pendulum, driving an automobile
Fuzzy controller-types PI and PID
  • Fuzzy controllers and tuning
  • PID controllers
  • PLCs
  • Special fuzzy cards
  • Development software
Tests and comparisons
  • Exercises to compare PID controllers vs fuzzy controllers


Day 3 : Putting fuzzy logic into practice

Equipment needed
  • PLC
  • Programming software
  • Analytical card
  • Fuzzy card
  • Programming software and utilization of fuzzy card
  • Exercises
Program and data acquisition
  • Scrutinizing programs
  • Exercises
Program in fuzzy card
  • Related functions
  • Rules
  • Preliminary tuning
Tuning
  • Use of software tools
  • Related tuning
  • Performance evaluation
  • Comparison of PID and PID/fuzzy controllers

Software used

ExperTune (latest revision)