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.
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.

Development of Adaptive Speed Observers for Induction Machine System Stabilization

Development of Adaptive Speed Observers for Induction Machine System Stabilization
eBook(1st ed. 2020)
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Product Details
ISBN-13: | 9789811522987 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 01/03/2020 |
Series: | SpringerBriefs in Electrical and Computer Engineering |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 13 MB |
Note: | This product may take a few minutes to download. |