Direct Synthesis Method-based PID Controller Design for High Order Systems
Yazarlar (2)
Doç. Dr. Mehmet Serhat CAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Doç. Dr. Tufan DOĞRUER Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University (Q4)
Dergi ISSN 2717-8013
Dergi Tarandığı Indeksler Google Scholar, Index Copernicus, Scientific Indexing Services, CiteFactor, Eurasian Scientific Journal IndexAsian Science Citation Index, Asos index
Makale Dili İngilizce Basım Tarihi 12-2024
Kabul Tarihi 24-11-2024 Yayınlanma Tarihi 24-11-2024
Cilt / Sayı / Sayfa 5 / 2 / 16–22 DOI 10.46572/naturengs.1563008
Makale Linki https://doi.org/10.46572/naturengs.1563008
UAK Araştırma Alanları
Kontrol Teorisi ve Uygulamaları
Özet
This study presents a PID controller design using the Direct Synthesis (DS) method for high-order systems. The DS method offers an analytical approach to parameter tuning. PID controllers are widely favored due to their simple structure and the easy with which their parameters can be tuned. Classical controller performances may not be sufficient to control unstable, integrator-containing, or high-order systems. To overcome this problem in controlling high-order systems, high-order systems can be reduced to low-order systems using model reduction techniques. PID controller designs can be realized using reduced models. In the study, two high-order systems are taken as an example, and PID controller designs are made using second-order models of these systems. In both examples, time and frequency response analyses are presented with figures, and performance evaluations are interpreted. In the control of high-order systems, very successful results are obtained with the presented method.
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 1
Direct Synthesis Method-based PID Controller Design for High Order Systems