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    Improved cascade control structure for enhanced performance
    (Elsevier Sci Ltd, 2007) Kaya, Ibrahim; Tan, Nusret; Atherton, Derek P.
    In conventional single feedback control, the corrective action for disturbances does not begin until the controlled variable deviates from the set point. In this case, a cascade control strategy can be used to improve the performance of a control system particularly in the presence of disturbances. In this paper, an improved cascade control structure and controller design based on standard forms, which was initially given by authors, is suggested to improve the performance of cascade control. Examples are given to illustrate the use of the proposed method and its superiority over some existing design methods. (C) 2006 Elsevier Ltd. All rights reserved.
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    Öğe
    Practical tuning algorithm of PDµ controller for processes with time delay
    (Elsevier B.V., 2017) Özyetkin, Mine Münevver; Tan, Nusret
    In this paper, a practical tuning algorithm of fractional order PD controller for processes with time delay using the weighted geometrical center (WGC) method is presented. This method is based on calculating of the stabilizing PDµ controller parameters region which is plotted using the stability boundary locus in the (kd,kp) plane and computing the weighted geometrical center of stability region. The important advantages of the proposed method are both calculating of controller parameters without using complex graphical methods and ensuring the stability of closed loop system. From the examples, it can be easily seen that this simple tuning method can perform quite reliable results in that unit step response.
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    Öğe
    Stability region analysis in Smith predictor configurations using a PI controller
    (Sage Publications Ltd, 2015) Deniz, Furkan Nur; Tan, Nusret; Hamamci, Serdar Ethem; Kaya, Ibrahim
    This paper deals with the stabilization problem of Smith predictor structures using a PI controller. Stability regions that include all stabilizing parameters of a PI controller for the case of perfect matching between the plant and model and for mismatched case are obtained. The models of the plant are assumed to be FOPDT (first-order plus dead time) and SOPDT (second-order plus dead time) transfer functions. Thus, the aim of this study is to determine all stabilizing PI controllers for the Smith predictor scheme and to compare the stability regions obtained for perfectly matched and mismatched models. It is observed that the stability regions obtained for both cases are quite different and the stability regions for FOPDT and SOPDT models are broader than the stability region of the actual model. Furthermore, an approach is presented to find different models of an actual system using the stability region and it is shown that the stability region of these models can fit the stability region of actual system. A simulation example is provided to illustrate the results.