PID and Fuzzy Logic

LabVIEW 2018 Help


Edition Date: March 2018
Part Number: 371361R-01
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June 2014, 373333C-01

Use PID and Fuzzy Logic VIs for Proportional-Integral-Derivative (PID) and fuzzy logic control. These VIs appear under the Control & 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.

Use the Fuzzy System Designer to design a fuzzy system interactively. Use the Fuzzy Logic VIs to design and control fuzzy systems programmatically.

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