Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben

2020 | Buch

Introduction and Background of Induction Machine System Stabilization Kapitel lesen Erstes Kapitel lesen

Development of Adaptive Speed Observers for Induction Machine System Stabilization

verfasst von: Prof. Ahmed A. Zaki Diab, Prof. Abo-Hashima  M. Al-Sayed, Dr. Hossam Hefnawy Abbas Mohammed, Prof. Yehia Sayed Mohammed

Verlag: Springer Singapore

Buchreihe : SpringerBriefs in Electrical and Computer Engineering

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik"

Einloggen, um Zugang zu erhalten
insite
SUCHEN

Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
1. Introduction and Background of Induction Machine System Stabilization
Abstract
The development of high-performance induction motor drives for general industry applications and production automation has received wide spread research interests. Many schemes have been proposed for the control of induction motor drives, among which the field-oriented control or vector control, being accepted as one of the most effective methods.
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
2. Literature Review of Induction Motor Drives
Abstract
The development of effective induction motor drives for various applications in industry has received intensive effort for many researchers.
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
3. Development and Stabilization of Adaptive State Observers for Induction Machines
Abstract
In this chapter adaptive state observers that takes parameters variation into consideration is used to achieve high performance without spoiling the dynamic response. These adaptive state observers are designed using the induction machine model. A modified gain rotor flux observer with a parameter adaptive scheme has been proposed for sensorless vector control induction motor drives. The value of the observer optimal gain has been derived by minimizing the error between the measured and estimated states. Also, the stability of the proposed rotor flux observer with the parameter identification scheme is proved using the Lyapunov’s theorem.
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
4. Sensorless Vector Control for Photovoltaic Array Fed Induction Motor Driving Pumping System
Abstract
In this chapter, the application of sensorless vector control drives to control a photovoltaic (PV) motor pumping system has been presented. The main objective of this work is to design and analyze a single stage maximum power point tracking (MPPT) and eliminate the speed encoder. Elimination of the speed encoder aims to increase the reliability of the PV motor pumping system. Moreover, the incremental conductance method is used for MPPT of the PV system. The principles of vector control have been applied to control the single stage of VSI fed the three-phase induction motor. Furthermore, a full order observer has been designed to estimate the rotor speed of the motor pumping system. MATLAB/SIMULINK simulation has been used in order to validate the proposed algorithm.
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
5. Robust Speed Controller Design Using H∞ Theory for High Performance Sensorless Induction Motor Drives
Abstract
In this chapter, a robust speed control scheme for high dynamic performance sensorless induction motor drives based on the H_infinity theory has been proposed and analyzed. Experimental and simulation results demonstrate that the presented control scheme with the H_infinity controller and MRAS speed estimator has a reasonable estimated motor speed accuracy and a good dynamic performance.
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
6. Conclusions and Recommendation for Future Work
Abstract
This book presents proposed adaptive rotor flux observers in order to identifying motor speed and parameter for sensorless vector control induction machine drives. The stability of this observer with the parameter adaptation scheme is derived by Lyapunov’s theorem. The proposed systems have been validated through simulation and experimental testes with different applications. In view of the presented analysis and investigations, this chapter introduces the main conclusions of the work.
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
Backmatter
Metadaten
Titel
Development of Adaptive Speed Observers for Induction Machine System Stabilization
verfasst von
Prof. Ahmed A. Zaki Diab
Prof. Abo-Hashima M. Al-Sayed
Dr. Hossam Hefnawy Abbas Mohammed
Prof. Yehia Sayed Mohammed
Copyright-Jahr
2020
Verlag
Springer Singapore
Electronic ISBN
978-981-15-2298-7
Print ISBN
978-981-15-2297-0
DOI
https://doi.org/10.1007/978-981-15-2298-7