Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/11

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  • Article
    Citation - WoS: 5
    Citation - Scopus: 6
    Sanal Elektrik Makinaları Laboratuarı: Senkron Jeneratör Deneyleri
    (Gazi Üniversitesi, 2010) Bekiroğlu, Erdal; Bayrak, Alper
    Bu çalışmada, senkron jeneratör deneylerinin bilgisayar ortamında yapılabilmesini sağlayan sanal bir elektrik makinaları laboratuar aracı geliştirilmiştir. Geliştirilen araç ile senkron jeneratörlere ait boş çalışma, kısa devre, yüklü çalışma ve paralel bağlama deneyleri yapılmaktadır. Her deney için ayrı bir deney sayfası açılarak, deneyin yapılışı, bağlantı şeması, tablo ve grafikler gösterilmektedir. C#.NET platformu kullanılarak geliştirilen sanal laboratuar aracı kullanıcı dostu olarak tasarlanmıştır. Benzetim çalışmaları için jeneratörün modeli ve pratik deneylerden yararlanılmıştır. Geliştirilen sanal laboratuar aracı, konu ile ilgili eğitim alan öğrencilerin senkron jeneratörleri daha iyi kavramasına yardımcı olacak, gerekli laboratuar donanımlarının kurulmadığı birimlerde öğrencilere bilgisayar ortamında deneyleri yapma olanağı sağlayacaktır.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 3
    A Model-Free Continuous Velocity Observer Formulation With Self-Tuning for Mechatronic Systems
    (The American Society of Mechanical Engineers(ASME), 2018) Deniz, Meryem; Bayrak, Alper; Tatlıcıoğlu, Enver; Zergeroğlu, Erkan
    In this study, the design of a smooth robust velocity observer for a class of uncertain nonlinear mechatronic systems is presented. The proposed velocity observer does not require a priori knowledge of the upper bounds of the uncertain system dynamics and introduces time-varying observer gains for uncertainty compensation. Practical stability of the velocity observation error is ensured via Lyapunov-type stability analysis. Experimental results obtained from Phantom Omni haptic device are presented to illustrate the performance of the proposed velocity observer.
  • Article
    Citation - WoS: 8
    Citation - Scopus: 8
    Online Time Delay Identification and Control for General Classes of Nonlinear Systems
    (SAGE Publications Inc., 2013) Bayrak, Alper; Tatlıcıoğlu, Enver
    In this study, online identification of state delays is discussed. First, a novel adaptive time delay identification technique is proposed for general classes of nonlinear systems subject to state delays. The stability of the time delay identification algorithm is analyzed via Lyapunov-based techniques. In this work, we consider the time delay as a nonlinear parameter effecting the system which is a seemingly novel departure from the existing literature. As an extension, this technique is modified to design a tracking controller for general classes of nonlinear systems subject to state delays. The main novelty of this controller is that identification of unknown state delays are ensured while output tracking objective is satisfied. Numerical simulations are conducted that demonstrate the efficiency of the time delay identification algorithm and the tracking controller.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 6
    Online Time Delay Identification and Control for General Classes of Nonlinear Systems
    (Institute of Electrical and Electronics Engineers Inc., 2012) Bayrak, Alper; Tatlıcıoğlu, Enver
    In this study, online identification of state delays is discussed. First, a novel adaptive time delay identification technique is proposed for general classes of autonomous nonlinear systems subject to state delays. As an extension, this technique is modified to design a tracking controller for general classes of nonlinear systems subject to state delays. The main novelty of this controller is that identification of unknown state delays is ensured while output tracking objective is satisfied. Extensive numerical simulations are presented that demonstrate the efficiency of the time delay identification algorithm and the tracking controller. © 2012 IEEE.