Müjde Güzelkaya

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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)
In this study, a new approach for the formation of type-2 membership functions is introduced. The footprint of uncertainty is formed by using rectangular type-2 fuzzy granules and the resulting membership function is named as Granular Type-2 Membership Function. This new approach provides more degrees of freedom and design flexibility in type-2 fuzzy logic(More)