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PID and Fuzzy Logic Toolkit

LabVIEW 2012 PID and Fuzzy Logic Toolkit Help

Edition Date: June 2012

Part Number: 370401J-01

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June 2012, 373333B-01

The LabVIEW PID and Fuzzy Logic Toolkit includes VIs for Proportional-Integral-Derivative (PID) and fuzzy logic control. These VIs appear under the Control Design & Simulation palette. You can use the PID VIs with input/output (I/O) functions such as data acquisition (DAQ) to implement control of physical processes.

PID Control

The Proportional-Integral-Derivative (PID) algorithm is the most common control algorithm used in industry. A PID controller is a feedback controller you can use to control processes such as heating and cooling systems, fluid level monitoring, flow control, pressure control, and so on. You can use the PID VIs with National Instruments hardware such as a DAQ device, FieldPoint I/O module, or GPIB board, to connect your PC to a system and develop LabVIEW control applications. You also can use the PID VIs with LabVIEW math and logic functions to create block diagrams for real control strategies.

Fuzzy Logic

Fuzzy logic is a method of rule-based decision making for expert systems and process control. Fuzzy logic differs from traditional Boolean logic in that fuzzy logic allows for partial membership in a set. You can use fuzzy logic to control processes represented by subjective, linguistic descriptions. You can wire acquired data to a fuzzy controller to implement real-time decision making or control of a physical system. You also can use outputs of the fuzzy controller with DAQ analog output hardware to implement real-time process control.

The PID and Fuzzy Logic Toolkit includes the Fuzzy System Designer, which you can use to design a fuzzy system interactively, and the Fuzzy Logic VIs, which you can use to design and control fuzzy systems programmatically.

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