In this book, Induction Motor (IM) efficiency and power factor improvement is proposed. Procedure of obtaining maximum efficiency point is demonstrated. When operating at slip of max. eff. the motor characteristics are compared with the motor conventional ones operating at rated voltage. It gives suitable operating voltage to drive motor at maximum efficiency for certain load torque. A general – purpose voltage – frequency pattern is investigated. Optimum efficiency operation at variable frequencies is presented with sample points. The required voltage relations at any frequency to drive the motor at optimum efficiency are deduced too. Load torque types operated at optimum efficiency are introduced also. Adaptive model of induction motor using neural networks is created. Two ANN sensorless units are displayed one for voltage reduction at motor max. eff. with base frequency; while second for voltage at any load torque value with frequency for motor optimum efficiency. Experimental part is illustrated to verify theoretical one with a complete test-bed and finally ANN Experimental model depending on experimental data is adopted to be used in speed estimation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
In this book, Induction Motor (IM) efficiency and power factor improvement is proposed. Procedure of obtaining maximum efficiency point is demonstrated. When operating at slip of max. eff. the motor characteristics are compared with the motor conventional ones operating at rated voltage. It gives suitable operating voltage to drive motor at maximum efficiency for certain load torque. A general – purpose voltage – frequency pattern is investigated. Optimum efficiency operation at variable frequencies is presented with sample points. The required voltage relations at any frequency to drive the motor at optimum efficiency are deduced too. Load torque types operated at optimum efficiency are introduced also. Adaptive model of induction motor using neural networks is created. Two ANN sensorless units are displayed one for voltage reduction at motor max. eff. with base frequency; while second for voltage at any load torque value with frequency for motor optimum efficiency. Experimental part is illustrated to verify theoretical one with a complete test-bed and finally ANN Experimental model depending on experimental data is adopted to be used in speed estimation.
Dr. Eng. Adel El Shahat: Ass. Prof. Pet. & Min. Eng. Fac. Suez Univ. Egypt. He was Researcher, ECE, Green Energy Lab, OSU, USA. IEEE, ASEE, IAENG, IACSIT, SAE, EES, WASET, ARISE Member. He has many publications related to Renewable Energy, Electric Machines, Power Systems, Smart Grids, Micro-generators, Control systems, Power Electronics, Drives
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, Induction Motor (IM) efficiency and power factor improvement is proposed. Procedure of obtaining maximum efficiency point is demonstrated. When operating at slip of max. eff. the motor characteristics are compared with the motor conventional ones operating at rated voltage. It gives suitable operating voltage to drive motor at maximum efficiency for certain load torque. A general purpose voltage frequency pattern is investigated. Optimum efficiency operation at variable frequencies is presented with sample points. The required voltage relations at any frequency to drive the motor at optimum efficiency are deduced too. Load torque types operated at optimum efficiency are introduced also. Adaptive model of induction motor using neural networks is created. Two ANN sensorless units are displayed one for voltage reduction at motor max. eff. with base frequency; while second for voltage at any load torque value with frequency for motor optimum efficiency. Experimental part is illustrated to verify theoretical one with a complete test-bed and finally ANN Experimental model depending on experimental data is adopted to be used in speed estimation. N° de réf. du vendeur 9783659352553
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Etat : New. Print on Demand pp. 116 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131765920
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: El Shahat AdelDr. Eng. Adel El Shahat: Ass. Prof. Pet. & Min. Eng. Fac. Suez Univ. Egypt. He was Researcher, ECE, Green Energy Lab, OSU, USA. IEEE, ASEE, IAENG, IACSIT, SAE, EES, WASET, ARISE Member. He has many publications related . N° de réf. du vendeur 5150495
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Taschenbuch. Etat : Neu. Induction Motor Performance Improvement | Adel El Shahat | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659352553 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 106051248
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