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Comparative Analysis of Pulse Width Modulation Schemes: For Five-Phase Voltage Source Inverter - Softcover
Synopsis
Space vector pulse width modulation (SVPWM) is an optimum pulse width modulation technique for an inverter used in a variable frequency drive applications. It is computationally rigorous and hence limits the inverter switching frequency. This book discusses a time equivalent SVPWM and neural Network based SVPWM technique for a five-phase voltage source inverter in under modulation region. A neural network has the advantage of very fast implementation of an SVPWM algorithm that can increase the inverter switching frequency. The scheme has been simulated and comparative study is given with the existing PWM schemes. The simulation results are given to validate the concept of proposed schemes.
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About the Author
Mohd. Arif Khan received his M. Tech (Power System & Drives) and Ph.D. degrees in 2007 and 2012, respectively, from the Aligarh Muslim University, Aligarh, India. Presently he is working with Krishna Institute of Engg. & Tech., Ghaziabad as Asstt. Prof. in EN deptt. His principal research interest is Multi-phase Multi-motor machine drives system.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2012
- ISBN 10 3659271217
- ISBN 13 9783659271212
- BindingPaperback
- LanguageEnglish
- Number of pages104
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Comparative Analysis of Pulse Width Modulation Schemes
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LAP LAMBERT Academic Publishing Nov 2012, 2012
ISBN 10: 3659271217
ISBN 13: 9783659271212
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Space vector pulse width modulation (SVPWM) is an optimum pulse width modulation technique for an inverter used in a variable frequency drive applications. It is computationally rigorous and hence limits the inverter switching frequency. This book discusses a time equivalent SVPWM and neural Network based SVPWM technique for a five-phase voltage source inverter in under modulation region. A neural network has the advantage of very fast implementation of an SVPWM algorithm that can increase the inverter switching frequency. The scheme has been simulated and comparative study is given with the existing PWM schemes. The simulation results are given to validate the concept of proposed schemes. 104 pp. Englisch. Seller Inventory # 9783659271212
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Comparative Analysis of Pulse Width Modulation Schemes : For Five-Phase Voltage Source Inverter
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659271217
ISBN 13: 9783659271212
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Space vector pulse width modulation (SVPWM) is an optimum pulse width modulation technique for an inverter used in a variable frequency drive applications. It is computationally rigorous and hence limits the inverter switching frequency. This book discusses a time equivalent SVPWM and neural Network based SVPWM technique for a five-phase voltage source inverter in under modulation region. A neural network has the advantage of very fast implementation of an SVPWM algorithm that can increase the inverter switching frequency. The scheme has been simulated and comparative study is given with the existing PWM schemes. The simulation results are given to validate the concept of proposed schemes. Seller Inventory # 9783659271212
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Comparative Analysis of Pulse Width Modulation Schemes
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659271217
ISBN 13: 9783659271212
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Mohd. ArifMohd. Arif Khan received his M. Tech (Power System & Drives) and Ph.D. degrees in 2007 and 2012, respectively, from the Aligarh Muslim University, Aligarh, India. Presently he is working with Krishna Institute of Engg. Seller Inventory # 5144674
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Comparative Analysis of Pulse Width Modulation Schemes: For Five-Phase Voltage Source Inverter
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659271217
ISBN 13: 9783659271212
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