Particle Swarm Optimization (PSO) is emerging as a powerful optimization tool and is recently applied in a few fields. This book presents the application of a new Particle swarm optimization technique for adjusting the gains of a PID speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response, minimum settling time and minimum overshoot for a separately excited motor. Computer simulations and experimental results show that the performance of the optimal PID controller is better than that of the traditional design methods of PID controller.
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Er. Udit Mamodiya is an Assistant Professor in the Department of Electrical Engineering, Poornima Institute of Engineering & Technology (India). He has more than seven years of experience in academic & industry. Many of his articles have been published in international journals & conferences. He has Gold Medalist for academic performance.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Particle Swarm Optimization (PSO) is emerging as a powerful optimization tool and is recently applied in a few fields. This book presents the application of a new Particle swarm optimization technique for adjusting the gains of a PID speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response, minimum settling time and minimum overshoot for a separately excited motor. Computer simulations and experimental results show that the performance of the optimal PID controller is better than that of the traditional design methods of PID controller. 88 pp. Englisch. Bestandsnummer des Verkäufers 9783639519655
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mamodiya UditEr. Udit Mamodiya is an Assistant Professor in the Department of Electrical Engineering, Poornima Institute of Engineering & Technology (India). He has more than seven years of experience in academic & industry. Many of . Bestandsnummer des Verkäufers 385759190
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Particle Swarm Optimization (PSO) is emerging as a powerful optimization tool and is recently applied in a few fields. This book presents the application of a new Particle swarm optimization technique for adjusting the gains of a PID speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response, minimum settling time and minimum overshoot for a separately excited motor. Computer simulations and experimental results show that the performance of the optimal PID controller is better than that of the traditional design methods of PID controller.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Bestandsnummer des Verkäufers 9783639519655
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Particle Swarm Optimization (PSO) is emerging as a powerful optimization tool and is recently applied in a few fields. This book presents the application of a new Particle swarm optimization technique for adjusting the gains of a PID speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response, minimum settling time and minimum overshoot for a separately excited motor. Computer simulations and experimental results show that the performance of the optimal PID controller is better than that of the traditional design methods of PID controller. Bestandsnummer des Verkäufers 9783639519655
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Taschenbuch. Zustand: Neu. Tuning of PID Controller for Speed Control of DC Motor Using PSO | The performance of the optimal PID controller is better than that of the traditional design methods of PID controller | Udit Mamodiya | Taschenbuch | 88 S. | Englisch | 2018 | Scholars' Press | EAN 9783639519655 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 114834572
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