The Proportional Integral Derivative (PID) controller is one of the most common type of feedback controllers used in dynamics systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics and automation. In this book a comparison has been made between the performances of PID controllers used in various industries and that of its fuzzy model. To achieve this goal, real time data was collected from different PID controllers used in various industries for measurement of temperature, pressure, flow and level at various positions in process. On the bases of this collected data, a fuzzy model has been developed for each PID controller. The fuzzy logic based controller has been implemented by taking error and change in error as the inputs and incorporating the IF–THEN rules. On the bases of the rule-base a fuzzified output was obtained. Finally, a comparison has been made between the performance of PID controller and that of its fuzzy model.
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The Proportional Integral Derivative (PID) controller is one of the most common type of feedback controllers used in dynamics systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics and automation. In this book a comparison has been made between the performances of PID controllers used in various industries and that of its fuzzy model. To achieve this goal, real time data was collected from different PID controllers used in various industries for measurement of temperature, pressure, flow and level at various positions in process. On the bases of this collected data, a fuzzy model has been developed for each PID controller. The fuzzy logic based controller has been implemented by taking error and change in error as the inputs and incorporating the IF-THEN rules. On the bases of the rule-base a fuzzified output was obtained. Finally, a comparison has been made between the performance of PID controller and that of its fuzzy model.
Rakesh Kumar and Vineet Shibe are working as Assistant Professor at B.H.S.B.I.E.T. (Established by Government of Punjab), Lehragaga,Punjab, INDIA. Vineet Shibe is a Research Scholar in Punjab Technical University, Jalandhar. Their special fields of interest included the CAD/CAM/CAE, Robotics, Automation and Fuzzy Logic & Control System.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Proportional Integral Derivative (PID) controller is one of the most common type of feedback controllers used in dynamics systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics and automation. In this book a comparison has been made between the performances of PID controllers used in various industries and that of its fuzzy model. To achieve this goal, real time data was collected from different PID controllers used in various industries for measurement of temperature, pressure, flow and level at various positions in process. On the bases of this collected data, a fuzzy model has been developed for each PID controller. The fuzzy logic based controller has been implemented by taking error and change in error as the inputs and incorporating the IF-THEN rules. On the bases of the rule-base a fuzzified output was obtained. Finally, a comparison has been made between the performance of PID controller and that of its fuzzy model. 108 pp. Englisch. Nº de ref. del artículo: 9783659460777
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar RakeshRakesh Kumar and Vineet Shibe are working as Assistant Professor at B.H.S.B.I.E.T. (Established by Government of Punjab), Lehragaga,Punjab, INDIA. Vineet Shibe is a Research Scholar in Punjab Technical University, Jalan. Nº de ref. del artículo: 5157465
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Taschenbuch. Condición: Neu. Neuware -The Proportional Integral Derivative (PID) controller is one of the most common type of feedback controllers used in dynamics systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics and automation. In this book a comparison has been made between the performances of PID controllers used in various industries and that of its fuzzy model. To achieve this goal, real time data was collected from different PID controllers used in various industries for measurement of temperature, pressure, flow and level at various positions in process. On the bases of this collected data, a fuzzy model has been developed for each PID controller. The fuzzy logic based controller has been implemented by taking error and change in error as the inputs and incorporating the IF¿THEN rules. On the bases of the rule-base a fuzzified output was obtained. Finally, a comparison has been made between the performance of PID controller and that of its fuzzy model.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Nº de ref. del artículo: 9783659460777
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Proportional Integral Derivative (PID) controller is one of the most common type of feedback controllers used in dynamics systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics and automation. In this book a comparison has been made between the performances of PID controllers used in various industries and that of its fuzzy model. To achieve this goal, real time data was collected from different PID controllers used in various industries for measurement of temperature, pressure, flow and level at various positions in process. On the bases of this collected data, a fuzzy model has been developed for each PID controller. The fuzzy logic based controller has been implemented by taking error and change in error as the inputs and incorporating the IF-THEN rules. On the bases of the rule-base a fuzzified output was obtained. Finally, a comparison has been made between the performance of PID controller and that of its fuzzy model. Nº de ref. del artículo: 9783659460777
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