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A Fuzzy Proportional-Derivative (PD) Algorithm for Programmable Logic Controller (PLC)

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Fuzzy logic, introduced in 1965 by Dr. Lotfi A. Zadeh, became useful and significant in many control system applications. This intelligent-type of control is strongly based on the concepts of fuzzy sets, linguistic variables and approximate reasoning. On the other hand, programmable logic controllers, or PLCs, are types of digital controller used mainly in industrial processes and machine automations. These controllers are more reliable, flexible and robust compared with conventional relay-based control systems. The introduction of fuzzy logic to PLC will greatly improve the capability of the system to produce intelligent and ‘reasoned’ decisions. With that, this study presents the design and implementation of fuzzy logic-based expert system in a PLC hardware. Proportional-derivative (PD) control is the type of control system used for fuzzy logic. The fuzzifier includes two inputs: error and rate of error. The testing and evaluation of the fuzzy algorithm were conducted before actual runs through offline simulation, thus, saving valuable time in fault detection, debugging and troubleshooting.
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Keywords: Function Block Diagram; Fuzzy Logic; Programmable Logic Controller; Proportional-Derivative Control

Document Type: Research Article

Affiliations: Manufacturing Engineering and Management Department, Gokongwei College of Engineering, De La Salle University, 0922 Manila, Philippines

Publication date: November 1, 2017

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