Development of Adaptive Speed Observers for Induction Machine System Stabilization
Titre:
Development of Adaptive Speed Observers for Induction Machine System Stabilization
ISBN (Numéro international normalisé des livres):
9789811522987
Auteur personnel:
Edition:
1st ed. 2020.
PRODUCTION_INFO:
Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
Description physique:
XXII, 80 p. online resource.
Collections:
SpringerBriefs in Electrical and Computer Engineering,
Table des matières:
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.
Extrait:
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.
Auteur collectif ajouté:
Accès électronique:
Full Text Available From Springer Nature Engineering 2020 Packages
Langue:
Anglais