Yazar "Ozguven, O. Faruk" seçeneğine göre listele

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    ANFIS & PI?D? controller design and comparison for overhead cranes
    (Natl Inst Science Communication-Niscair, 2011) Arpaci, Huseyin; Ozguven, O. Faruk
    The study suggests a method of designing an intelligent digital control for maintaining the load masses and target displacement at predefined position on overhead crane system. The control works on the basis of modeling at position control and sway angle control. In this study, the ANFIS and (PID mu)-D-lambda control system are applied to crane. Heuristic rules derived with the membership functions then the parameters of membership functions are tuned by adaptive neuro-fuzzy inference system (ANFIS). MATLAB, SIMULINK and Fuzzy Logic TOOLBOX are the programming environments used for realization of the model. The principle aim in designing the control is to assure the fastest and best transition possible from a controller for overhead crane. A non-linear model for an overhead crane system, which takes into account a combination of a trolley and a pendulum, is derived. The overall mathematical model obtained is simulated using MATLAB-SIMULINK. An adaptive neuro-fuzzy controller, which includes three rule bases, and PID, (PID mu)-D-lambda, used for position control, is successfully designed and implemented on the below simulated model. At the same time, in this performance, more rapid and less swing results are obtained for longer transportation distance with ANFIS control system, compared with the results of other studies.
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    Author's reply: A comment on the Robust stability analysis of fractional order interval polynomials, by Nusret Tan et al.
    (Elsevier Science Inc, 2011) Tan, Nusret; Ozguven, O. Faruk; Ozyetkin, M. Mine
    This author's reply addresses the comment given in the note mentioned in the title. Theorem 3 given in Tan et al. (2009) [1] uses zero exclusion principle for the stability analysis of Fractional Order Interval Polynomial (FOIP). We show that the constant degree assumption is exist in the definition of zero exclusion principle. Although it has not been clearly stated in Tan et al. (2009)11] that FOIP of Eq. (1) is a constant degree polynomial, this condition is implicit in the zero exclusion principle. Therefore, Theorem 3 is true under the constant degree assumption which is a requirement for zero exclusion principle. (C) 2010 ISA. Published by Elsevier Ltd. All rights reserved.