Modelling for Temperature Non-Isothermal CSTR Using Fuzzy Logic - Tapa blanda

Mohamed Ramli, Nasser

 
9783330064621: Modelling for Temperature Non-Isothermal CSTR Using Fuzzy Logic
Tapa blanda
ISBN 10: 3330064625 ISBN 13: 9783330064621
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

Dr Nasser Mohamed Ramli is a senior lecturer in the Chemical Engineering Department, Universiti Teknologi Petronas. He obtained his bachelor’s degree in Chemical Engineering from Loughborough University, United Kingdom and his master’s degree from University of Queensland, Australia. He obtained his PhD from University of Malaya.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3330064625
ISBN 13 
9783330064621
Encuadernación
Tapa blanda
Número de páginas
52
Contacto del fabricante
no disponible
Persona responsable
no disponible