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Dergiler / Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi / 2023 / Cilt: 14 Sayı: 2

A Novel PI-PD Controller Tuning Method based on Neutrosophic Similarity Measure for Unstable and Integrating Processes with Time Delay

Tufan DOĞRUER
Sayfa
273–281
Yayın Tarihi
2023-06-20
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results are presented comparatively in figures and tables to show the superiority of the proposed method.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Integrating systems and unstable systems are two types of systems that are widely used in various industries, including control engineering and electrical engineering.
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Temel Bulgular & Veri:The design method utilizes a Genetic Algorithm-based optimization technique, which incorporates a new objective function that is based on the neutrosophic similarity measure.
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Sonuç & Katkı:The results are presented comparatively in figures and tables to show the superiority of the proposed method.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Neutrosophic similarity measure · PI-PD controller tuning · time delay unstable and integrating systems

Özet

Integrating systems and unstable systems are two types of systems that are widely used in various industries, including control engineering and electrical engineering. However, controlling these systems can be a daunting task due to their inherent complexity. To address this challenge, the PI-PD controller structure has been widely adopted in the industry, as it has proven to be very successful in controlling integrating and unstable systems. In this paper, a new design method is proposed to determine the optimal controller parameters in the control of integrating and unstable systems with time delay. The design method utilizes a Genetic Algorithm-based optimization technique, which incorporates a new objective function that is based on the neutrosophic similarity measure. Two different types of plants have been chosen as examples in this study. The first plant is a time-delayed integrating system. The second plant is an unstable system, which means that the output signal is very sensitive to any changes or disturbances in the input signal. This study examines the parameter uncertainties of systems by comparing them with some design methods from the literature. The results are presented comparatively in figures and tables to show the superiority of the proposed method.

Abstract

Integrating systems and unstable systems are two types of systems that are widely used in various industries, including control engineering and electrical engineering. However, controlling these systems can be a daunting task due to their inherent complexity. To address this challenge, the PI-PD controller structure has been widely adopted in the industry, as it has proven to be very successful in controlling integrating and unstable systems. In this paper, a new design method is proposed to determine the optimal controller parameters in the control of integrating and unstable systems with time delay. The design method utilizes a Genetic Algorithm-based optimization technique, which incorporates a new objective function that is based on the neutrosophic similarity measure. Two different types of plants have been chosen as examples in this study. The first plant is a time-delayed integrating system. The second plant is an unstable system, which means that the output signal is very sensitive to any changes or disturbances in the input signal. This study examines the parameter uncertainties of systems by comparing them with some design methods from the literature. The results are presented comparatively in figures and tables to show the superiority of the proposed method.

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Bu Makaleye Atıf Yap

DOĞRUER, T. (2023). A Novel PI-PD Controller Tuning Method based on Neutrosophic Similarity Measure for Unstable and Integrating Processes with Time Delay. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, Cilt: 14 Sayı: 2, 273–281. https://ajindex.com/articles/962725

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Kaynakça (15)

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