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Development of Adaptive Speed Observers for Induction Machine System Stabilization [electronic resource] / by Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed.

By: Diab, Ahmed A. Zaki [author.].
Contributor(s): Al-Sayed, Abo-Hashima M [author.] | Abbas Mohammed, Hossam Hefnawy [author.] | Mohammed, Yehia Sayed [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XXII, 80 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811522987.Subject(s): Electric power production | Manufactures | Control engineering | Electrical Power Engineering | Machines, Tools, Processes | Control and Systems TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.31 Online resources: Click here to access online
Contents:
Introduction -- Sensorless Induction Motor Drives Applications -- Development and Stabilization of Adaptive State Observers for Induction Machines -- Sensorless Vector Control for Photovoltaic Array Fed Induction Motor Driving Pumping System -- Robust Speed Controller Design Using H∞ Theory for High Performance Sensorless Induction Motor Drives -- Conclusion.
In: Springer Nature eBookSummary: This book describes the development of an adaptive state observer using a mathematical model to achieve high performance for sensorless induction motor drives. This involves first deriving an expression for a modified gain rotor flux observer with a parameter adaptive scheme to estimate the motor speed accurately and improve the stability and performance of sensorless vector-controlled induction motor drives. This scheme is then applied to the controls of a photovoltaic-motor water-pumping system, which results in improved dynamic performance under different operating conditions. The book also presents a robust speed controller design for a sensorless vector-controlled induction motor drive system based on H∞ theory, which overcomes the problems of the classical controller.
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Introduction -- Sensorless Induction Motor Drives Applications -- Development and Stabilization of Adaptive State Observers for Induction Machines -- Sensorless Vector Control for Photovoltaic Array Fed Induction Motor Driving Pumping System -- Robust Speed Controller Design Using H∞ Theory for High Performance Sensorless Induction Motor Drives -- Conclusion.

This book describes the development of an adaptive state observer using a mathematical model to achieve high performance for sensorless induction motor drives. This involves first deriving an expression for a modified gain rotor flux observer with a parameter adaptive scheme to estimate the motor speed accurately and improve the stability and performance of sensorless vector-controlled induction motor drives. This scheme is then applied to the controls of a photovoltaic-motor water-pumping system, which results in improved dynamic performance under different operating conditions. The book also presents a robust speed controller design for a sensorless vector-controlled induction motor drive system based on H∞ theory, which overcomes the problems of the classical controller.

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