TY - JOUR T1 - Neutrosophic valued PID controller for closed loop V/f speed control of permanent magnet synchronous motor TT - Sabit mıknatıslı senkron motorun kapalı çevrim V/f hız kontrolü için nötrosofik değerli PID denetleyicisi AU - Haçat, Gülnur AU - Çetinceviz, Yücel PY - 2023 DA - July Y2 - 2023 DO - 10.28948/ngumuh.1258587 JF - Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi JO - NÖHÜ Müh. Bilim. Derg. PB - Niğde Ömer Halisdemir Üniversitesi WT - DergiPark SN - 2564-6605 SP - 716 EP - 725 VL - 12 IS - 3 LA - en AB - In this article, a neutrophic logic-based closed loop V/f control system has been established by creating a fuzzy inference system and a neutrophic fuzzy logic controller (NFLC) in Matlab. Although NFLC can control by taking uncertainty and imprecise data into account, it can sometimes fall short in applications that require fast and accurate responses. Therefore, the NFLC-PID block diagram has been established to test in a Simulink environment with permanent magnet synchronous motor (PMSM). The NFLC-PID takes into account the imprecise data provided by the NFLC and provides a more accurate feedback. Thus, the control performance of the system is further improved. The simulation results demonstrate that the NFLC-PID managed the PMSM efficiently and successfully. KW - Permanent magnet synchronous motor KW - Fuzzy logic controller KW - Neutrosophic fuzzy logic controller N2 - Bu makalede, Matlab'da bir bulanık çıkarım sistemi ve bir nötrosofik bulanık mantık denetleyici (NFLC) oluşturularak nötrosofik mantık tabanlı kapalı döngü V/f kontrol sistemi kurulmuştur. NFLC, belirsizlik ve kesin olmayan verileri hesaba katarak kontrol yapabilmesine rağmen, bazen hızlı ve doğru yanıtlar gerektiren uygulamalarda yetersiz kalabilir. Bu nedenle sabit mıknatıslı senkron motor (PMSM) ile bir Simulink ortamında test etmek için NFLC-PID blok diyagramı oluşturulmuştur. NFLC-PID, NFLC’nin sağladığı kesin olmayan verileri de dikkate alarak daha doğru bir geri bildirim yapar. Böylece, sistemin kontrol performansı daha da geliştirilmiştir. Simülasyon sonuçları, NFLC-PID’in PMSM'yi verimli ve başarılı bir şekilde yönettiğini göstermektedir. CR - L. Zadeh, Fuzzy sets, Information Control, 8, 338–353, 1965. https://doi.org/10.1016/s0019-9958(65)90241-x CR - I. Bloch, Fuzzy sets for image processing and understanding, Fuzzy Sets and Systems, 281, 280-291, 2015. https://doi.org/10.1016/j.fss.2015.06.017 CR - J. M. Sánchez-Lozano, J. Serna, and A. Dolón-Payán, Evaluating military training aircrafts through the combination of multi-criteria decision-making processes with fuzzy logic, A case study in the Spanish Air Force Academy. Aerospace Science and Technology, 42, 58-65, 2015. https://doi.org/10.1016/j.ast.2014.12.028 CR - I. 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