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Comparision - Conventional PID Controller & PID Based Fuzzy Controller: Feedback Controllers - Softcover
Inhaltsangabe
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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Reseña del editor
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.
Biografía del autor
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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Comparision - Conventional PID Controller & PID Based Fuzzy Controller: Feedback Controllers
Verlag:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365946077X
ISBN 13: 9783659460777
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Softcover
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Zustand: New. 108 pp., Paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Artikel-Nr. ZB1096799
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Comparision - Conventional PID Controller & PID Based Fuzzy Controller
Verlag:
LAP LAMBERT Academic Publishing Nov 2013, 2013
ISBN 10: 365946077X
ISBN 13: 9783659460777
Neu
Taschenbuch
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Taschenbuch. Zustand: 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. Artikel-Nr. 9783659460777
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