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Journals / International Journal of Intelligent Systems and Applications in Engineering / 2018 / Cilt: 6 - Sayı: 2

Fuzzy and Taguchi based Fuzzy Optimization of Performance Criteria of the Process Control Systems

Fatih KARA
VEDAT ARDA KÜÇÜK
Barış ŞİMŞEK
Pages
138–143
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In comparison with the classical PID method, in the Fuzzy PID method, the improvement is calculated as 117% in the average of the offset value and 14670% in the standard deviation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper proposes a Taguchi based Fuzzy and Fuzzy PID application using MATLAB® version 2015a to assess and optimize of process control performance criteria of liquid level and flow rate control system.
📊
Key Findings & Data:When the main effect graphs for the liquid level and flow rate control system are evaluated, it was seen that the change in the membership function is the most effective factor on the process control performance.
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Conclusion & Impact:In comparison with the classical PID method, in the Fuzzy PID method, the improvement is calculated as 117% in the average of the offset value and 14670% in the standard deviation.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

This paper proposes a Taguchi based Fuzzy and Fuzzy PID application using MATLAB® version 2015a to assess and optimize of process control performance criteria of liquid level and flow rate control system. When the main effect graphs for the liquid level and flow rate control system are evaluated, it was seen that the change in the membership function is the most effective factor on the process control performance. It can be said that the Gaussian membership function provides the lowest mean and standard deviation in the offset value. Improvement rates for “overshoot”, “rise time”, “first peak time”, “%95 setting time, “%99 setting time”, “mean” and “the standard deviation of the offset values” are %102, %99, %120, %344, %181, %5, %167 for flow rate control system; %102, %97, %124, %77, %91, %4, %167 for liquid level control system in order. In comparison with the classical PID method, in the Fuzzy PID method, the improvement is calculated as 117% in the average of the offset value and 14670% in the standard deviation.

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Cite This Article

KARA, F., KÜÇÜK, V. A., ŞİMŞEK, B. (2018). Fuzzy and Taguchi based Fuzzy Optimization of Performance Criteria of the Process Control Systems. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 6 - Sayı: 2, 138–143. https://ajindex.com/articles/167203

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