EcoStruxure™ Control Expert - Fuzzy Control Library

Fuzzy Control Library for Advance Process Control
Published by Schneider Electric


Process Control Engineering with ready to use function blocks of Fuzzy Control Library

Fuzzy Logic controllers contain rules engines which process generalized (fuzzy) rules to produce a crisp output.

The output is driven by the rules and performance is managed by the accuracy of the rules.

The rules need to be maintained to deliver optimal control.

The main idea of Fuzzy Logic is the dealing with ambiguous quantities, the elements of which only gradually belong to a set. Instead of just ’membership’ and ’non membership’, intermediate stages are also permitted. With the help of Fuzzy Logic, ambiguities of different kinds can thus be mathematically described and handled.

This theory finds its successful application in control engineering as Fuzzy Control.

Compatible with

  • EcoStruxure™ Control Expert V15 and above
  • NOTE: Click on the Download button to download the software package. However, user need to purchase a License to be able to install the Library in EcoStruxure™ Control Expert

    EcoStruxure™ Control Expert - Fuzzy Control Library

    Why to use Fuzzy Control Library


    Fuzzy Control in Engineering

    In control engineering, one or more control variables are produced depending on one or more input variables.

    The input variables are fuzzified

    The linguistic variables produced are associated with the corresponding operators in accordance with specific rules. Result of the processing of the rules (inference): a ’fuzzy’ output variable, that is to say a variable which is described with its membership degrees through attributes.

    Defuzzification of the output variables into a unambiguous number with which an action can then be associated in the control process.

    Fuzzy Control Library is developed to simplify the Process Control Engineering with ready to use function blocks

    Library based on Key Concepts of Fuzzy Theory

    Linguistic Variables and Linguistic Terms
  • Membership Degree
  • Membership Function
  • Fuzzification
  • Rules
  • Operators
  • Weighting of the rules
  • Inference
  • Defuzzification
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