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Seven-level NPC inverter-based DTC-ANN method of the PMSM drives: with regulation speed using differents intelligent PI controllers - Softcover
Synopsis
Over the past years, many kinds of control techniques are proposed for permanent magnet synchronous motors (PMSM) drives using a two-level inverter and intelligent techniques ( fuzzy logic (FL), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS)…). Among them, the direct torque control (DTC) method has gained more importance due to the simple strategy and fast dynamic response. However, it has the disadvantage of high ripples in rotor flux, stator current, electromagnetic torque, and slow response because of proportional-integral (PI) of speed and switching table. To improve the performance of the DTC method (two-level DTC control) and to reduce the electromagnetic torque and stator flux ripples, seven-level DTC-ANN method based intelligent PI regulator of speed is proposed in this work. The simulation is carried out using Matlab/Simulink software and compares the conventional DTC strategy and the proposed techniques are implemented and simulated results are shown.
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Seven-level NPC inverter-based DTC-ANN method of the PMSM drives
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LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10: 6202918209
ISBN 13: 9786202918206
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past years, many kinds of control techniques are proposed for permanent magnet synchronous motors (PMSM) drives using a two-level inverter and intelligent techniques ( fuzzy logic (FL), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS).). Among them, the direct torque control (DTC) method has gained more importance due to the simple strategy and fast dynamic response. However, it has the disadvantage of high ripples in rotor flux, stator current, electromagnetic torque, and slow response because of proportional-integral (PI) of speed and switching table. To improve the performance of the DTC method (two-level DTC control) and to reduce the electromagnetic torque and stator flux ripples, seven-level DTC-ANN method based intelligent PI regulator of speed is proposed in this work. The simulation is carried out using Matlab/Simulink software and compares the conventional DTC strategy and the proposed techniques are implemented and simulated results are shown. 84 pp. Englisch. Seller Inventory # 9786202918206
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Seven-level NPC inverter-based DTC-ANN method of the PMSM drives : with regulation speed using differents intelligent PI controllers
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918209
ISBN 13: 9786202918206
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the past years, many kinds of control techniques are proposed for permanent magnet synchronous motors (PMSM) drives using a two-level inverter and intelligent techniques ( fuzzy logic (FL), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS).). Among them, the direct torque control (DTC) method has gained more importance due to the simple strategy and fast dynamic response. However, it has the disadvantage of high ripples in rotor flux, stator current, electromagnetic torque, and slow response because of proportional-integral (PI) of speed and switching table. To improve the performance of the DTC method (two-level DTC control) and to reduce the electromagnetic torque and stator flux ripples, seven-level DTC-ANN method based intelligent PI regulator of speed is proposed in this work. The simulation is carried out using Matlab/Simulink software and compares the conventional DTC strategy and the proposed techniques are implemented and simulated results are shown. Seller Inventory # 9786202918206
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Seven-level NPC inverter-based DTC-ANN method of the PMSM drives
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202918209
ISBN 13: 9786202918206
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Benbouhenni HabibHabib Benbouhenni was born in chlef, Algeria. He is a PhD student in the Departement of electrical engineering at the ENPO-MA, Oran, Algeria. He received a M.A. degree in Automatic and informatique industrial in 2017. Seller Inventory # 410172863
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Seven-level NPC inverter-based DTC-ANN method of the PMSM drives
Published by
LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10: 6202918209
ISBN 13: 9786202918206
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the past years, many kinds of control techniques are proposed for permanent magnet synchronous motors (PMSM) drives using a two-level inverter and intelligent techniques ( fuzzy logic (FL), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS).). Among them, the direct torque control (DTC) method has gained more importance due to the simple strategy and fast dynamic response. However, it has the disadvantage of high ripples in rotor flux, stator current, electromagnetic torque, and slow response because of proportional-integral (PI) of speed and switching table. To improve the performance of the DTC method (two-level DTC control) and to reduce the electromagnetic torque and stator flux ripples, seven-level DTC-ANN method based intelligent PI regulator of speed is proposed in this work. The simulation is carried out using Matlab/Simulink software and compares the conventional DTC strategy and the proposed techniques are implemented and simulated results are shown.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9786202918206