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© 2020

Development of Adaptive Speed Observers for Induction Machine System Stabilization

Book

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
    Pages 1-5
  3. Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
    Pages 7-18
  4. Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
    Pages 19-31
  5. Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
    Pages 33-48
  6. Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
    Pages 49-69
  7. Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
    Pages 71-72
  8. Back Matter
    Pages 73-80

About this book

Introduction

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.

Keywords

adaptive state observer induction machine model gain rotor flux observer sensorless vector control induction motor drives Lyapunov’s theorem photovoltaic motor pumping system voltage source inverter maximum power point tracking (MPPT) model reference adaptive system (MRAS)

Authors and affiliations

  1. 1.Electrical Engineering Department, Faculty of EngineeringMinia UniversityEgyptEgypt
  2. 2.Electrical Engineering Department, Faculty of EngineeringMinia UniversityMiniaEgypt
  3. 3.Electrical Engineering Department, Faculty of EngineeringMinia UniversityMiniaEgypt
  4. 4.Electrical Engineering Department, Faculty of EngineeringMinia UniversityMiniaEgypt

About the authors

Ahmed A. Zaki Diab, Ph.D.; received B.Sc. and M.Sc. in Electrical Engineering from Minia University, Egypt in 2006 and 2009, respectively. In 2015, he received Ph.D. from Electric Drives and Industry Automation Department, Faculty of Mechatronics and Automation at Novosibirsk State Technical University, Novosibirsk, Russia. He had obtained postdoctoral Fellowship at the National research university "MPEI", Moscow Power Engineering Institute, Moscow, Russia from September 2017 to March 2018. Since 2007, he has been with the Department of Electrical Engineering, Faculty of Engineering, Minia University, Egypt as a Teaching Assistant, a Lecturer Assistant, and since 2015, as an Assistant Professor. Currently, He is a Visitor researcher (postdoctoral) at Green Power Electronics Circuits Laboratory, Kyushu University, Japan (awarded the MIF Research Fellowship 2019, Japan). Dr. Diab is certified as a Siemens Engineer and Trainer in several fields of automation and process control systems and He is a supervisor of the Automatic Control and Traction Lab., Faculty of Engineering, Minia University, Egypt. His present research interests include Renewable Energy Systems, Power Electronics, and Machines Drives.

Abo-Hashima M. Al-sayed, Ph.D.; received his B.Sc., and M.Sc. in Electrical Engineering from Minia University, Minia, Egypt, in 1994 and 1998, respectively. He was a Ph.D. student in the Institute of Electrical Power Systems and Protection, Faculty of Electrical Engineering, Dresden University of Technology, Dresden, Germany from 2000 to 2002. He received his Ph.D. in Electrical Power from the Faculty of Engineering, Minia University, Egypt in 2002, according to a channel system program, which means a Scientific Co-operation between the Dresden University of Technology, Germany and Minia University, Egypt. Since 1994, he has been with the Department of Electrical Engineering, Faculty of Engineering, Minia University, as a Teaching Assistant, a Lecturer Assistant, an Assistant Professor, and Associate Professor. He was a Visiting Researcher at Kyushu University, Japan, from 2008 to 2009. He is the head of Mechatronics and Industrial Robotics Program, Faculty of Engineering, Minia University from 2011 till now. His research interests include Protection Systems, Renewable Energy, and Power Systems.

Hossam Hefnawy Abbas Mohammed, Ph.D.; received his B.S., M.Sc. and Ph.D. in Electrical Engineering from Department of Electrical Engineering, Faculty of Engineering, Minia University, Egypt, in 2004, 2015 and 2019, respectively. He has joined Middle Egypt Electricity Distribution Company as electrical engineer in 2004. Also, he had worked in Telecom Egypt Co. as Head of Operation and Maintenance Department of Control Center Devices in 2008.      Dr. Hossam is currently working in Electricity and water Authority in Kingdom of Bahrain. He had more than fourteen years of practical working experience. His research interests cover power electronics, electric machines control, renewable energy, modeling and simulation of power converters, computer algebra systems, power quality and harmonics analysis, advanced control theory and DSP-based control applications.
Yahia Sayed Mohammed, Ph.D.; received his B.Sc., M.Sc. and Ph.D.  in Electrical Engineering from Assiut University, Assiut, Egypt, in 1983, 1989 and 1998, respectively. He is a professor and the head of Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt. His research interests include Machine Drives, and Renewable Energy.


Bibliographic information

  • Book Title Development of Adaptive Speed Observers for Induction Machine System Stabilization
  • Authors Ahmed A. Zaki Diab
    Abo-Hashima M. Al-Sayed
    Hossam Hefnawy Abbas Mohammed
    Yehia Sayed Mohammed
  • Series Title SpringerBriefs in Electrical and Computer Engineering
  • Series Abbreviated Title SpringerBriefs in Electrical
  • DOI https://doi.org/10.1007/978-981-15-2298-7
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-981-15-2297-0
  • eBook ISBN 978-981-15-2298-7
  • Series ISSN 2191-8112
  • Series E-ISSN 2191-8120
  • Edition Number 1
  • Number of Pages XXII, 80
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Power Electronics, Electrical Machines and Networks
    Manufacturing, Machines, Tools, Processes
    Control and Systems Theory
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