comparision conventional pid controller von kumar rakesh (7 Ergebnisse)

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Taschenbuch. Zustand: Neu. Comparision - Conventional PID Controller & PID Based Fuzzy Controller | Feedback Controllers | Rakesh Kumar (u. a.) | Taschenbuch | 108 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659460777 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Zustand: 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.

Zustand: 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.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.

Taschenbuch. Zustand: 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.