Yazar "Cankaya, Nihat" seçeneğine göre listele

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    Performance optimization and improvement of dust laden air by dynamic control method for jet pulsed filters
    (Elsevier Science Bv, 2019) Cankaya, Nihat; Ozcan, Muciz
    Almost all of the energy consumption of Jet Pulsed Filters is due to their reverse jet bag cleaning system. However, they have been working with simple bag cleaning algorithms. In order to optimize their energy consumption, these filters could be operated using an advanced automation with an innovative dynamic algorithms. In this study, initially, nine different types of novel cleaning algorithms were tested for Jet Pulsed Filters in an industrial plant by using an advanced automation system under real operating conditions. Then, an optimized cleaning algorithm was developed to operate all these filters efficiently, thanks to the data obtained from the experiments. By using the proposed algorithm instead of the classical one; energy consumption of the filter, the energy consumed per cubic meter of produced cleaning air and the waste oil generation were decreased by 50.7%, 73.9% and 86.5%, respectively. A 29.4 degrees C reduction in the temperature of the blower oil was also detected involving the extension of the oil life span by 7.4 times. Moreover, the average noise level in the factory was reduced from 83 dB to 79 dB. In this purpose, the number of bags cleaned per hour and the cleaning air production were increased by 183% and 89%, respectively. (C) 2019 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
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    Review and Investigation of Simplified Rules Fuzzy Logic Speed Controller of High Performance Induction Motor Drives
    (IEEE-Inst Electrical Electronics Engineers Inc, 2020) Tarbosh, Qazwan A.; Aydogdu, Omer; Farah, Nabil; Talib, Md Hairul Nizam; Salh, Adeeb; Cankaya, Nihat; Omar, Fuad Alhaj
    The use of Fuzzy Logic Controller (FLC) as a speed controller for Induction Motor (IM) drives is garnering strong researchers' interest since it has proven to achieve superior performance compared to conventional controllers. The aim of this study is to review and investigate the design, operations, and effects of rules reduction for FLC in IM drives. Based on the literature, the most commonly used technique to design FLC Membership Functions (MFs) rule-base and control model is based on engineering skills and experienced behavioral aspects of the controlled system. Simplified fuzzy rules approaches have been introduced to reduce the number of fuzzy rules in order to realize hardware implementation. This study discusses different simplified rules methods applied to IM drives. Most of the proposed methods shared a common drawback in that they lacked systematic procedures for designing FLC rule base. Therefore, this research proposed a methodological approach to designing and simplifying the FLC rule-base for IM drives based on dynamic step response and phase plane trajectory of the second order representation of IM drives systems. The proposed method presents guidance for designing FLC rule-base based on the general dynamic step response of the controlled system. Following the proposed method procedures, a (9, 25, 49) rules size has been designed and simplified to a (5, 7, 9) rules size. The effectiveness and accuracy of the designed rules as well as the simplified rules were verified by conducting simulation analysis of IM drives using MATLAB/Simulink environment. Step speed command performance comparisons were achieved with both standard designed and simplified rules at various speed demands. The simulation results showed that the simplified rules maintain the drive performance and produced similar behavior as the standard designed rules.
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    Three Parameter Control Algorithm for Obtaining Ideal Postprandial Blood Glucose in Type 1 Diabetes Mellitus
    (IEEE-Inst Electrical Electronics Engineers Inc, 2020) Cankaya, Nihat; Aydogdu, Omer
    The three main parameters used by patients in diabetes management are initial blood glucose, carbohydrate amount, and mealtime difference. In this study, a novel open-loop control algorithm was proposed, which aims to determine the correct value of mealtime difference duration. Unlike current blood glucose estimation methods, this algorithm was focused on determining extreme points that only concern patients such as hyperglycemia and hypoglycemia, instead of predicting all blood glucose trace in the postprandial period. This new approach has made it possible to determine extreme blood glucose values with simple linear equations without using complex models. This algorithm has only three parameters and has been validated in the UVA Padova type 1 diabetes mellitus simulator, which has thirty in-silico patients. The regressions between real and predicted values for hypoglycemia, hyperglycemia, and mean blood glucose were 0.95, 0.99, and 0.98, respectively. Using the proposed algorithm, the severity of hyperglycemia, mean blood glucose, and standard deviation values were reduced, and hypoglycemia events were prevented. Postprandial blood glucose curves have occurred as desired and within normal limits. Furthermore, it was concluded that intersection points of blood glucose curves contain information about the metabolic parameters of the patients, in this study.