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Observer-based speed estimation for vector controlled induction motors
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Peresada, S. M., Nikonenko, Y. O. , Kovbasa, S. M. , Rodkin, D. I. and Kiselychnyk, Oleh (2022) Observer-based speed estimation for vector controlled induction motors. Tekhnichna Elektrodynamika, 2022 (1). pp. 25-32. doi:10.15407/techned2022.01.025 ISSN 1607-7970.
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WRAP-observer-based-speed-estimation-vector-controlled-induction-motors-Kiselychnyk-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (498Kb) | Preview |
Official URL: https://doi.org/10.15407/techned2022.01.025
Abstract
A speed observer for field-oriented controlled induction drives is presented. The proposed solution exploits the concept of the classic full-order flux observer which is adaptive to the rotor resistance variations. Due to the structural similarity of the rotor speed and active rotor resistance in motor model, the speed observer can be designed using similar structure. The observer guarantees local asymptotic estimation of the rotor fluxes, stator currents and rotor speed in all operating conditions, excluding DC stator excitation. The stability properties of the observer are studied using Lyapunov’s second method. It is experimentally shown that the observer provides an acceptable dynamics of the speed estimation if speed is slowly varying. The proposed observer is suitable for the applications with medium requirements for speed regulation performance.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Electric motors, Induction, Observers (Control theory), Variable speed drives | ||||||
Journal or Publication Title: | Tekhnichna Elektrodynamika | ||||||
Publisher: | National Academy of Sciences of Ukraine | ||||||
ISSN: | 1607-7970 | ||||||
Official Date: | 24 January 2022 | ||||||
Dates: |
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Volume: | 2022 | ||||||
Number: | 1 | ||||||
Page Range: | pp. 25-32 | ||||||
DOI: | 10.15407/techned2022.01.025 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 17 May 2022 | ||||||
Date of first compliant Open Access: | 17 May 2022 |
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