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Speed sensorless control for PMSM drives using Extended Kalman Filter

In this paper, Sensorless Permanent Magnet Synchronous Motor (PMSM) using Extended Kalman Filter (EKF) is presented. The previous PMSM drive uses a sensor to measure the motor’s speed. Then the idea is to replace the sensor by using sensorless drives based on the observer. For the conventional obser...

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Main Authors: Mat Lazi, Jurifa, Nordin, Mohamad Ikhwan, Talib, Md Hairul Nizam, Ibrahim, Zulkifilie
Format: Article
Language:English
Published: Penerbit UTM Press 2021
Online Access:http://eprints.utem.edu.my/id/eprint/26223/2/SPEED-SENSORLESS-CONTROL-FOR-PMSM-DRIVES-USING-EXTENDED-KALMAN-FILTERJURNAL-TEKNOLOGI.PDF
http://eprints.utem.edu.my/id/eprint/26223/
https://journals.utm.my/jurnalteknologi/article/view/17270/7801
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spelling my.utem.eprints.262232023-03-02T12:13:13Z http://eprints.utem.edu.my/id/eprint/26223/ Speed sensorless control for PMSM drives using Extended Kalman Filter Mat Lazi, Jurifa Nordin, Mohamad Ikhwan Talib, Md Hairul Nizam Ibrahim, Zulkifilie In this paper, Sensorless Permanent Magnet Synchronous Motor (PMSM) using Extended Kalman Filter (EKF) is presented. The previous PMSM drive uses a sensor to measure the motor’s speed. Then the idea is to replace the sensor by using sensorless drives based on the observer. For the conventional observer, it’s only good for low current and low-speed applications. Moreover, it is hard to detect the phase voltage due to the non-existence of neutral wire. Therefore, this project proposes sensorless control using an EKF. This method provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. The accurate estimation will reduce the noise and ripple of the system. Additionally, the EKF do not require the information of mechanical parameters and the initial position of the rotor, making the construction is easy and simple. In this paper, the fundamental of the EKF algorithm is explained and the simulation results for different speeds and loads are presented. The noise reduction test is also conducted to measure the flux current with and without the filter. The simulation study is achieved using MATLAB/Simulink to verify the effectiveness of the proposed method. The results of the simulation show that the sensorless PMSM drives using EKF have lower overshoot and faster rise time during start-up conditions and have lower undershoot during the loaded condition. It also can be concluded that the proposed sensorless PMSM drive using EKF has good speed control accuracy and can reduce the current noise. Penerbit UTM Press 2021-12 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26223/2/SPEED-SENSORLESS-CONTROL-FOR-PMSM-DRIVES-USING-EXTENDED-KALMAN-FILTERJURNAL-TEKNOLOGI.PDF Mat Lazi, Jurifa and Nordin, Mohamad Ikhwan and Talib, Md Hairul Nizam and Ibrahim, Zulkifilie (2021) Speed sensorless control for PMSM drives using Extended Kalman Filter. Jurnal Teknologi, 84 (1). pp. 77-83. ISSN 2180–3722 https://journals.utm.my/jurnalteknologi/article/view/17270/7801 10.11113/jurnalteknologi.v84.17270
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description In this paper, Sensorless Permanent Magnet Synchronous Motor (PMSM) using Extended Kalman Filter (EKF) is presented. The previous PMSM drive uses a sensor to measure the motor’s speed. Then the idea is to replace the sensor by using sensorless drives based on the observer. For the conventional observer, it’s only good for low current and low-speed applications. Moreover, it is hard to detect the phase voltage due to the non-existence of neutral wire. Therefore, this project proposes sensorless control using an EKF. This method provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. The accurate estimation will reduce the noise and ripple of the system. Additionally, the EKF do not require the information of mechanical parameters and the initial position of the rotor, making the construction is easy and simple. In this paper, the fundamental of the EKF algorithm is explained and the simulation results for different speeds and loads are presented. The noise reduction test is also conducted to measure the flux current with and without the filter. The simulation study is achieved using MATLAB/Simulink to verify the effectiveness of the proposed method. The results of the simulation show that the sensorless PMSM drives using EKF have lower overshoot and faster rise time during start-up conditions and have lower undershoot during the loaded condition. It also can be concluded that the proposed sensorless PMSM drive using EKF has good speed control accuracy and can reduce the current noise.
format Article
author Mat Lazi, Jurifa
Nordin, Mohamad Ikhwan
Talib, Md Hairul Nizam
Ibrahim, Zulkifilie
spellingShingle Mat Lazi, Jurifa
Nordin, Mohamad Ikhwan
Talib, Md Hairul Nizam
Ibrahim, Zulkifilie
Speed sensorless control for PMSM drives using Extended Kalman Filter
author_facet Mat Lazi, Jurifa
Nordin, Mohamad Ikhwan
Talib, Md Hairul Nizam
Ibrahim, Zulkifilie
author_sort Mat Lazi, Jurifa
title Speed sensorless control for PMSM drives using Extended Kalman Filter
title_short Speed sensorless control for PMSM drives using Extended Kalman Filter
title_full Speed sensorless control for PMSM drives using Extended Kalman Filter
title_fullStr Speed sensorless control for PMSM drives using Extended Kalman Filter
title_full_unstemmed Speed sensorless control for PMSM drives using Extended Kalman Filter
title_sort speed sensorless control for pmsm drives using extended kalman filter
publisher Penerbit UTM Press
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/26223/2/SPEED-SENSORLESS-CONTROL-FOR-PMSM-DRIVES-USING-EXTENDED-KALMAN-FILTERJURNAL-TEKNOLOGI.PDF
http://eprints.utem.edu.my/id/eprint/26223/
https://journals.utm.my/jurnalteknologi/article/view/17270/7801
_version_ 1759693057630928896
score 13.211869

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