Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor
This paper proposes a position estimation method for a planar switched reluctance motor (PSRM). In the method, a second-order sliding mode observer (SMO) is used to achieve sensorless control of a PSRM for the first time. A sensorless closed-loop control strategy based on the SMO without a position...
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IEEE
2019-01-01
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Online Access: | https://ieeexplore.ieee.org/document/8701435/ |
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author | Jundi Sun Guang-Zhong Cao Su-Dan Huang Yeping Peng Jiangbiao He Qing-Quan Qian |
author_facet | Jundi Sun Guang-Zhong Cao Su-Dan Huang Yeping Peng Jiangbiao He Qing-Quan Qian |
author_sort | Jundi Sun |
collection | DOAJ |
description | This paper proposes a position estimation method for a planar switched reluctance motor (PSRM). In the method, a second-order sliding mode observer (SMO) is used to achieve sensorless control of a PSRM for the first time. A sensorless closed-loop control strategy based on the SMO without a position sensor for the PSRM is constructed. The SMO mainly consists of a flux linkage estimation, an adaptive current estimation, an observing error calculation, and a position estimation section. An adaptive current observer is applied in the current estimation section to minimize the error between the measured and estimated currents and to increase the accuracy of the position estimation. The flux linkage is estimated by the voltage equation of the PSRM, and the estimated flux linkage is then used to estimate the phase current in the adaptive current observer. To calculate the observing error of the SMO using the measured and estimated phase currents, the observing error of the thrust force is introduced to replace the immeasurable state error of the position and speed of the mover. The sliding surface is designed based on the error of the thrust force, and stability analysis is given. Once the sliding surface is reached, the mover position is then estimated accurately. Finally, the effectiveness of the proposed method for the PSRM is verified experimentally. |
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format | Article |
id | doaj.art-3083c87a9ac04a4f92984d3829c3f817 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-16T15:57:11Z |
publishDate | 2019-01-01 |
publisher | IEEE |
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series | IEEE Access |
spelling | doaj.art-3083c87a9ac04a4f92984d3829c3f8172022-12-21T22:25:33ZengIEEEIEEE Access2169-35362019-01-017610346104510.1109/ACCESS.2019.29137028701435Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance MotorJundi Sun0Guang-Zhong Cao1Su-Dan Huang2https://orcid.org/0000-0002-2417-7500Yeping Peng3https://orcid.org/0000-0003-3509-1152Jiangbiao He4Qing-Quan Qian5Shenzhen Key Laboratory of Electromagnetic Control, Shenzhen University, Shenzhen, ChinaShenzhen Key Laboratory of Electromagnetic Control, Shenzhen University, Shenzhen, ChinaShenzhen Key Laboratory of Electromagnetic Control, Shenzhen University, Shenzhen, ChinaShenzhen Key Laboratory of Electromagnetic Control, Shenzhen University, Shenzhen, ChinaDepartment of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USACollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, ChinaThis paper proposes a position estimation method for a planar switched reluctance motor (PSRM). In the method, a second-order sliding mode observer (SMO) is used to achieve sensorless control of a PSRM for the first time. A sensorless closed-loop control strategy based on the SMO without a position sensor for the PSRM is constructed. The SMO mainly consists of a flux linkage estimation, an adaptive current estimation, an observing error calculation, and a position estimation section. An adaptive current observer is applied in the current estimation section to minimize the error between the measured and estimated currents and to increase the accuracy of the position estimation. The flux linkage is estimated by the voltage equation of the PSRM, and the estimated flux linkage is then used to estimate the phase current in the adaptive current observer. To calculate the observing error of the SMO using the measured and estimated phase currents, the observing error of the thrust force is introduced to replace the immeasurable state error of the position and speed of the mover. The sliding surface is designed based on the error of the thrust force, and stability analysis is given. Once the sliding surface is reached, the mover position is then estimated accurately. Finally, the effectiveness of the proposed method for the PSRM is verified experimentally.https://ieeexplore.ieee.org/document/8701435/Position estimationplanar switched reluctance motor (PSRM)sensorless controlsliding mode observer (SMO) |
spellingShingle | Jundi Sun Guang-Zhong Cao Su-Dan Huang Yeping Peng Jiangbiao He Qing-Quan Qian Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor IEEE Access Position estimation planar switched reluctance motor (PSRM) sensorless control sliding mode observer (SMO) |
title | Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor |
title_full | Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor |
title_fullStr | Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor |
title_full_unstemmed | Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor |
title_short | Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor |
title_sort | sliding mode observer based position estimation for sensorless control of the planar switched reluctance motor |
topic | Position estimation planar switched reluctance motor (PSRM) sensorless control sliding mode observer (SMO) |
url | https://ieeexplore.ieee.org/document/8701435/ |
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