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Añadir al carritoPaperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Modelling for Temperature Non-Isothermal CSTR Using Fuzzy Logic | Nasser Mohamed Ramli | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330064621 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mrz 2017, 2017
ISBN 10: 3330064625 ISBN 13: 9783330064621
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many types of controllers have been applied on the Continuous Stirred Tank Reactor (CSTR) process to control the reactor temperature. In this book, an analysis of the response of the conventional Proportional-Integral-Derivative (PID) controller and multi types of fuzzy logic controller for temperature control of CSTR and to design a control system of a non-isothermal temperature control of a CSTR in order to produce the most theoretically stable response curve. A mathematical model of a CSTR using the most general operating condition was developed through a set of differential equations. The introduction of the most basic proportional-integral-derivative controller to the system will be shown and an activity plot or response curve can be shown to explain the behavior of the system with and without controller. The fuzzy logic controller from the fuzzy logic toolbox and compare the results that the temperature control is found better with fuzzy logic control as compared to PID control schemes respectively. 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330064625 ISBN 13: 9783330064621
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Publicado por LAP LAMBERT Academic Publishing Mär 2017, 2017
ISBN 10: 3330064625 ISBN 13: 9783330064621
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many types of controllers have been applied on the Continuous Stirred Tank Reactor (CSTR) process to control the reactor temperature. In this book, an analysis of the response of the conventional Proportional-Integral-Derivative (PID) controller and multi types of fuzzy logic controller for temperature control of CSTR and to design a control system of a non-isothermal temperature control of a CSTR in order to produce the most theoretically stable response curve. A mathematical model of a CSTR using the most general operating condition was developed through a set of differential equations. The introduction of the most basic proportional-integral-derivative controller to the system will be shown and an activity plot or response curve can be shown to explain the behavior of the system with and without controller. The fuzzy logic controller from the fuzzy logic toolbox and compare the results that the temperature control is found better with fuzzy logic control as compared to PID control schemes respectively.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330064625 ISBN 13: 9783330064621
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many types of controllers have been applied on the Continuous Stirred Tank Reactor (CSTR) process to control the reactor temperature. In this book, an analysis of the response of the conventional Proportional-Integral-Derivative (PID) controller and multi types of fuzzy logic controller for temperature control of CSTR and to design a control system of a non-isothermal temperature control of a CSTR in order to produce the most theoretically stable response curve. A mathematical model of a CSTR using the most general operating condition was developed through a set of differential equations. The introduction of the most basic proportional-integral-derivative controller to the system will be shown and an activity plot or response curve can be shown to explain the behavior of the system with and without controller. The fuzzy logic controller from the fuzzy logic toolbox and compare the results that the temperature control is found better with fuzzy logic control as compared to PID control schemes respectively.