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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Main Authors: Jundi Sun, Guang-Zhong Cao, Su-Dan Huang, Yeping Peng, Jiangbiao He, Qing-Quan Qian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
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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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/
work_keys_str_mv AT jundisun slidingmodeobserverbasedpositionestimationforsensorlesscontroloftheplanarswitchedreluctancemotor
AT guangzhongcao slidingmodeobserverbasedpositionestimationforsensorlesscontroloftheplanarswitchedreluctancemotor
AT sudanhuang slidingmodeobserverbasedpositionestimationforsensorlesscontroloftheplanarswitchedreluctancemotor
AT yepingpeng slidingmodeobserverbasedpositionestimationforsensorlesscontroloftheplanarswitchedreluctancemotor
AT jiangbiaohe slidingmodeobserverbasedpositionestimationforsensorlesscontroloftheplanarswitchedreluctancemotor
AT qingquanqian slidingmodeobserverbasedpositionestimationforsensorlesscontroloftheplanarswitchedreluctancemotor