13. Fuzzy Control Systems

  1. Timothy J. Ross

Published Online: 27 DEC 2010

DOI: 10.1002/9781119994374.ch13

Fuzzy Logic with Engineering Applications, Third Edition

Fuzzy Logic with Engineering Applications, Third Edition

How to Cite

Ross, T. J. (2010) Fuzzy Control Systems, in Fuzzy Logic with Engineering Applications, Third Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119994374.ch13

Author Information

  1. University of New Mexico, USA

Publication History

  1. Published Online: 27 DEC 2010
  2. Published Print: 15 JAN 2010

ISBN Information

Print ISBN: 9780470743768

Online ISBN: 9781119994374

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Keywords:

  • classical PID controller;
  • engineering process control;
  • fuzzy control systems;
  • fuzzy logic controllers;
  • fuzzy multi-output (MIMO) problems;
  • measurement data;
  • plant simulation;
  • statistical process control (SPC)

Summary

This chapter focuses on only two types of control: physical system control and industrial process control. Engineering process control, or the automatic control of physical processes, is a rather large complex field. The chapter discusses some simple concepts from classical process control in order to provide a background for fuzzy process control concepts. It also discusses the classical PID controller, and some fuzzy logic controllers. The chapter examines fuzzy multi-output (MIMO)problems because fuzzy controllers usually handle these problems quite well; of the many types, only feedback control systems will be illustrated. There are two basic types of statistical process control (SPC) problems. One of the problem types deals with measurement data. The chapter describes the “plant” as a simple mechanical device or something as large and pervasive as a country’s economy. For this discussion, it assumes the plant is some piece of hardware.

Controlled Vocabulary Terms

fuzzy control; MIMO; programmable controllers; statistical process control