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UPDATE #11

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In this issue:

A Fuzzy approach to enhanced control


Fuzzy logic allows engineers to exploit their expert knowledge and heuristics – represented in the form of vague linguistic IF-THEN implication rules – and transfer it to a function block.

The fuzzy system designed and generated by FuzzyDesigner might be used in control systems as a direct non-linear fuzzy-rule based controller
RSLogix5000 FuzzyDesigner allows engineers to enhance the functionality of existing or new control and decision making systems in various branches of industry. The fuzzy system designed and generated by FuzzyDesigner might be used in control systems as a direct non-linear fuzzy-rule based controller or intelligent gain scheduler (fuzzy supervisor) of PID or state feedback controllers. Fuzzy logic solutions are especially useful for controlling complex systems where standard PID control fails.

FuzzyDesigner generates Add-On Instruction (AOI) in L5X file format that the user can then import into RSLogix 5000 projects. Fuzzy AOIs, like any other AOI, can be used by any of the programming languages (Function Block Diagram, Ladder Logic, or Structured Text). FuzzyDesigner also allows the user to monitor and tune the fuzzy AOI online, directly in the running Logix controller.

FuzzyDesigner includes a library of components from which a fuzzy system performing non-linear I/O mapping can be designed. Hierarchical structure enables the designer to decompose a complex fuzzy system into smaller and simpler parts, which reduces the internal complexity of a fuzzy model and results in fewer fuzzy rules and easier insight into the system operation.

FuzzyDesigner offers several methods for fuzzy system analysis. Simulation mode allows you to watch the influence of individual component values, while 2D and 3D graphs with multiple options allow insight into the complex non-linear mappings realised by the fuzzy algorithm.

For more information, please e-mail us at: info_update@ra.rockwell.com, ref: FuzzyDesigner