Onur Karasakal

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In this study, the self-tuning method for fuzzy PID controllers that has been developed in a previous study of the authors is implemented on PLC in order to control some standard processes formed on FEEDBACK PCS 327 Process Control Simulator. In this tuning method, the input scaling factor corresponding to the derivative coefficient and the output scaling(More)
In this study, an on-line tuning method is proposed for fuzzy PID controllers via rule weighing. The rule weighing mechanism is a fuzzy rule base with two inputs namely; ‘‘error’’ and ‘‘normalized acceleration’’. Here, the normalized acceleration provides relative information on the fastness or slowness of the system response. In deriving the fuzzy rules of(More)
This paper introduces a new approach for estimating the uncertainty in the forecast through the construction of Triangular Fuzzy Numbers (TFNs). The interval of the proposed TFN presentation is generated from a Fuzzy logic based Lower and Upper Bound Estimator (FLUBE). Here, instead of the representing the forecast with a crisp value with a Prediction(More)
In this study, peak observer, function tuner and relative rate observer based self-tuning methods that adjust the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller are implemented on PLC. The results of the three different(More)
In this study, peak observer based tuning method that adjusts the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller is implemented on PLC. The results of the peak observer based self-tuning fuzzy PID-type controller is compared with(More)
This paper introduces an enhancement to linguistic forecast representation using Triangular Fuzzy Numbers (TFNs) called Enhanced Linguistic Generation and Representation Approach (ElinGRA). Since there is always an error margin in the predictions, there is a need to define error bounds in the forecast. The interval of the proposed presentation is generated(More)
In this study, a self-tuning method is proposed for interval type-2 fuzzy PID (IT2FPID) controllers. The proposed method tunes the fuzzy rule weights of the IT2FPID controllers in an on-line manner. The step response of the closed loop system is firstly taken into consideration and the response is divided into certain regions which is equal to the number of(More)
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