Yazar "Alpbaz, Mustafa" seçeneğine göre listele

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    APPLICATION OF NONLINEAR MODEL PREDICTIVE CONTROL BASED ON DIFFERENT MODELS TO BATCH POLYMERIZATION REACTOR
    (DIPTEM UNIV GENOA, 2011) Cetinkaya, Sevil; Anakh, Duygu; Zeybek, Zehra; Hapoglu, Hale; Alpbaz, Mustafa; Bruzzone, A; DauphinTanguy, G; Junco, S; Piera, MA
    In the present work, at the previously determined optimal conditions, to control batch polymerization reactor, Linear Generalized Predictive Control (LGPC) and Nonlinear Generalized Predictive Control (NLGPC) algorithm were utilized. Several system models were applied to the control algorithms. The effect of different optimal. conditions has been examined on monomer conversion, average viscosity molecular weight and chain length. At the same operating conditions of LGPC and NLGPC temperature control was used for comparison: According to the experimental results, the performance of NLGPC was obtained well than LGPC control method. In addition, the results denoted that the NLGPC control performances depend on different models and the optimum conditions.
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    Application of nonlinear model predictive control based on different models to batch polymerization reactor
    (I3M Conference, 2011) Cetinkaya, Sevil; Anakli, Duygu; Zeybek, Zehra; Hapoglu, Hale; Alpbaz, Mustafa
    In the present work, at the previously determined optimal conditions, to control batch polymerization reactor, Linear Generalized Predictive Control (LGPC) and Nonlinear Generalized Predictive Control (NLGPC) algorithm were utilized. Several system models were applied to the control algorithms. The effect of different optimal conditions has been examined on monomer conversion, average viscosity molecular weight and chain length. At the same operating conditions of LGPC and NLGPC temperature control was used for comparison. According to the experimental results, the performance of NLGPC was obtained well than LGPC control method. In addition, the results denoted that the NLGPC control performances depend on different models and the optimum conditions.
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    APPLICATION OF TEMPERATURE CONTROL IN A BATCH POLYMERIZATION REACTOR AT DIFFERENT OPTIMAL TEMPERATURES
    (GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2013) Cetinkaya, Sevil; Durmazucar, Hasan H.; Zeybek, Zehra; Hapoglu, Hale; Alpbaz, Mustafa
    The generalized delta rule (GDR) algorithm with generalized predictive control (GPC) was used to control the temperature of a jacketed batch reactor in which styrene polymerization occurs under isothermal conditions. The effects of different optimal conditions were examined on monomer conversion, average viscosity molecular weight and chain length. The neural network model based on the relation between the reactor temperature and heat input to the reactor was used. The efficiency of the GDR with GPC was examined by simulation and experimentally using GDR parameters specified at constant temperatures, and compared with Self-Tuning PID (STPID). It was observed that the control experiments provided a good performance in maintaining the reactor temperature at its set point and yielded polymer product with desired properties.
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    Application of temperature control in a batch polymerization reactor at different optimal temperatures
    (2013) Çetinkaya, Sevil; Durmazuçar, Hasan H.; Zeybek, Zehra; Hapo?lu, Hale; Alpbaz, Mustafa
    The generalized delta rule (GDR) algorithm with generalized predictive control (GPC) was used to control the temperature of a jacketed batch reactor in which styrene polymerization occurs under isothermal conditions. The effects of different optimal conditions were examined on monomer conversion, average viscosity molecular weight and chain length. The neural network model based on the relation between the reactor temperature and heat input to the reactor was used. The efficiency of the GDR with GPC was examined by simulation and experimentally using GDR parameters specified at constant temperatures, and compared with Self-Tuning PID (STPID). It was observed that the control experiments provided a good performance in maintaining the reactor temperature at its set point and yielded polymer product with desired properties.
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    Optimal temperature control in a batch polymerization reactor using fuzzy-relational models-dynamics matrix control
    (PERGAMON-ELSEVIER SCIENCE LTD, 2006) Cetinkaya, Sevil; Zeybek, Zehra; Hapoglu, Hale; Alpbaz, Mustafa
    In this work, fuzzy-relational models-dynamics matrix control (Fuzzy-DMC) was applied to the free radical solution polymerization of styrene in a jacketted batch reactor and its performance was examined to reach the required monomer conversion, molecular weight and chain length in a minimum time. The reactor temperature was controlled by manipulating the heat-input to the reactor. The performance of the Fuzzy-DMC controller was compared with that of the nonlinear generalized predictive control (NLGPC). (c) 2006 Elsevier Ltd. All rights reserved.