Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Estimation of rotor position for permanent magnet synchronous motor at standstill using sensorless voltage control scheme

Anayi, Fatih J. ORCID: https://orcid.org/0000-0001-8408-7673 and Al Ibraheemi, Mazen M. A. 2020. Estimation of rotor position for permanent magnet synchronous motor at standstill using sensorless voltage control scheme. IEEE/ASME Transactions on Mechatronics 25 (3) , pp. 1612-1621. 10.1109/TMECH.2020.2981193

[thumbnail of IEEE Transactions on Mechatronic Fatih Anayi.pdf]
Preview
PDF - Accepted Post-Print Version
Download (1MB) | Preview

Abstract

The zero-speed rotor position estimation in surface mounted permanent magnet synchronous motor SM-PMSM represents a challenge due to the weak magnetic saliency in this type of motors. This paper presents a new method to estimate the initial rotor position of SM-PMSMs more simply and more accurately without any form of position or current sensors. It achieves this goal through an injection of three short width pulses and employing only the measurements of the motor terminal voltage responses, which fluctuate sinusoidally with the rotor position. Thereby, memory addresses, or dimensions of a look-up table, were created from the readings of the measured voltages. The memory was primarily loaded with 360 angles, each represents 1o angle of rotor positions. The simulated MATLAB model and experimental results demonstrate the advantages. Comparing with the previous related publications, this research work has fulfilled two main contributions. The first is in achieving a rotor position estimation of 1o resolution. The second is in eliminating the technique needed for detection of the rotor magnet polarity. The measured rates of error for the MATLAB model and the practical model were 2% and 5% respectively

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1083-4435
Date of First Compliant Deposit: 15 June 2020
Date of Acceptance: 19 March 2020
Last Modified: 07 Nov 2023 02:12
URI: https://orca.cardiff.ac.uk/id/eprint/132322

Citation Data

Cited 22 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics