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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
IPD and FLC results are compared in terms of current, voltage and velocity for reference input.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, IPD and Fuzzy Logic Controller (FLC) are applied separately to perform velocity control of the system that has two degree of freedom in real time.
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Temel Bulgular & Veri:IPD controller uses coefficients which are integral, differential and proportional are calculated with Coefficient Diagram Method (CDM).
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Sonuç & Katkı:IPD and FLC results are compared in terms of current, voltage and velocity for reference input.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:IPD · FLC · CDM
Abstract
In this study, IPD and Fuzzy Logic Controller (FLC) are applied separately to perform velocity control of the system that has two degree of freedom in real time. IPD controller uses coefficients which are integral, differential and proportional are calculated with Coefficient Diagram Method (CDM). This method is based on polynomial approach and has many advantages such as easy design procedure, an interpretation of settling time, stability and parameter tuning. FLC uses linguistic variables and can be applied easily. IPD and FLC results are compared in terms of current, voltage and velocity for reference input.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
AVCU, A. (2018). Comparison of IPD and Fuzzy Logic Velocity Control In Two Degree of Freedom DC Motor System. International Journal of Engineering Science and Application, Cilt: 2 - Sayı: 1, 1–7. https://ajindex.com/articles/832913