Nonlinear Control and Decision Making Usig Fuzzy Logic in Logix

This white paper explores fuzzy logic and how it helps engineers solve nonlinear control problems commonly found in process applications. Fuzzy logic, which mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems, advanced fault detection and other complex applications. Control systems deploying fuzzy logic can improve the management of uncertain variables, such as temperature fluctuations.
By Control Engineering Staff September 25, 2007

This white paper explores fuzzy logic and how it helps engineers solve nonlinear control problems commonly found in process applications. Fuzzy logic, which mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems, advanced fault detection and other complex applications. Control systems deploying fuzzy logic can improve the management of uncertain variables, such as temperature fluctuations.

This paper also provides best practices for designing with fuzzy control and examines its benefits compared to conventional control methods. In addition, this document outlines how to develop fuzzy logic algorithms for the Allen-Bradley Logix family of programmable automation controllers, using the RSLogix 5000 FuzzyDesigner software package. This paper also introduces the newest features of the RSLogix 5000 FuzzyDesigner software package, such as fuzzy logic add-on instructions. These features reduce development time, improve maintainability and ease set up of fuzzy logic programs.

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