Signal-Injection-Assisted Full-Order Observer With Parameter Adaptation for Synchronous Reluctance Motor Drives
Loading...
Access rights
© 2014 Institute of Electrical & Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.
URL
Journal Title
Journal ISSN
Volume Title
School of Electrical Engineering |
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Authors
Date
2014
Major/Subject
Mcode
Degree programme
Language
en
Pages
3392-3402
Series
IEEE Transactions on Industry Applications, Volume 50, Issue 5
Abstract
A back-EMF-based position observer for motion-sensorless synchronous reluctance motor (SyRM) drives is augmented with parameter-adaptation laws for improved operation at all speeds, including standstill. The augmented observer is theoretically analyzed under various operation conditions. The analysis indicates that the stator-resistance adaptation should be enabled only at low speeds, the d-axis inductance adaptation should be enabled only at medium and high speeds near no load, and the q-axis inductance adaptation should be enabled only at high speeds under high load. The augmented observer is experimentally evaluated using a 6.7-kW SyRM drive.Description
Keywords
inductance adaptation, observer, parameter adaptation, parameter uncertainties, resistance adaptation, sensorless, signal injection, stability conditions
Other note
Citation
Tuovinen, Toni & Hinkkanen, Marko. 2014. Signal-Injection-Assisted Full-Order Observer With Parameter Adaptation for Synchronous Reluctance Motor Drives. IEEE Transactions on Industry Applications. Volume 50, Issue 5. 3392-3402. ISSN 0093-9994 (printed). DOI: 10.1109/tia.2014.2304588.