Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System

This paper presents sliding mode control of sensor-less parallel-connected two five-phase permanent magnet synchronous machines (PMSMs) fed by a single five-leg inverter. For both machines, the rotor speeds and rotor positions as well as load torques are estimated by using Extended Kalman Filter (EK...

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Main Authors: Tounsi Kamel, Djahbar Abdelkader, Barkat Said, Sanjeevikumar Padmanaban, Atif Iqbal
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Electronics
Subjects:
Online Access:http://www.mdpi.com/2079-9292/7/2/14
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author Tounsi Kamel
Djahbar Abdelkader
Barkat Said
Sanjeevikumar Padmanaban
Atif Iqbal
author_facet Tounsi Kamel
Djahbar Abdelkader
Barkat Said
Sanjeevikumar Padmanaban
Atif Iqbal
author_sort Tounsi Kamel
collection DOAJ
description This paper presents sliding mode control of sensor-less parallel-connected two five-phase permanent magnet synchronous machines (PMSMs) fed by a single five-leg inverter. For both machines, the rotor speeds and rotor positions as well as load torques are estimated by using Extended Kalman Filter (EKF) scheme. Fully decoupled control of both machines is possible via an appropriate phase transposition while connecting the stator windings parallel and employing proposed speed sensor-less method. In the resulting parallel-connected two-machine drive, the independent control of each machine in the group is achieved by controlling the stator currents and speed of each machine under vector control consideration. The effectiveness of the proposed Extended Kalman Filter in conjunction with the sliding mode control is confirmed through application of different load torques for wide speed range operation. Comparison between sliding mode control and PI control of the proposed two-motor drive is provided. The speed response shows a short rise time, an overshoot during reverse operation and settling times is 0.075 s when PI control is used. The speed response obtained by SMC is without overshoot and follows its reference and settling time is 0.028 s. Simulation results confirm that, in transient periods, sliding mode controller remarkably outperforms its counterpart PI controller.
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spelling doaj.art-20443a6f550243a3bc4c52e40332f9702022-12-22T04:04:00ZengMDPI AGElectronics2079-92922018-01-01721410.3390/electronics7020014electronics7020014Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive SystemTounsi Kamel0Djahbar Abdelkader1Barkat Said2Sanjeevikumar Padmanaban3Atif Iqbal4Department of Electrical Engineering, LGEER laboratory, U.H.B.B-Chlef University, Chlef 02000, AlgeriaDepartment of Electrical Engineering, LGEER laboratory, U.H.B.B-Chlef University, Chlef 02000, AlgeriaLaboratoire de Génie Électrique, Faculté de Technologie, Université de M’Sila, M’Sila 28000, AlgeriaDepartment of Energy Technology, Aalborg University, 6700 Esberg, DenmarkDepartment of Electrical Engineering Qatar University, Doha, QatarThis paper presents sliding mode control of sensor-less parallel-connected two five-phase permanent magnet synchronous machines (PMSMs) fed by a single five-leg inverter. For both machines, the rotor speeds and rotor positions as well as load torques are estimated by using Extended Kalman Filter (EKF) scheme. Fully decoupled control of both machines is possible via an appropriate phase transposition while connecting the stator windings parallel and employing proposed speed sensor-less method. In the resulting parallel-connected two-machine drive, the independent control of each machine in the group is achieved by controlling the stator currents and speed of each machine under vector control consideration. The effectiveness of the proposed Extended Kalman Filter in conjunction with the sliding mode control is confirmed through application of different load torques for wide speed range operation. Comparison between sliding mode control and PI control of the proposed two-motor drive is provided. The speed response shows a short rise time, an overshoot during reverse operation and settling times is 0.075 s when PI control is used. The speed response obtained by SMC is without overshoot and follows its reference and settling time is 0.028 s. Simulation results confirm that, in transient periods, sliding mode controller remarkably outperforms its counterpart PI controller.http://www.mdpi.com/2079-9292/7/2/14five-phase permanent magnet synchronous machinefive-leg voltage source invertermultiphase space vector modulationsliding mode controlextended Kalman filter
spellingShingle Tounsi Kamel
Djahbar Abdelkader
Barkat Said
Sanjeevikumar Padmanaban
Atif Iqbal
Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System
Electronics
five-phase permanent magnet synchronous machine
five-leg voltage source inverter
multiphase space vector modulation
sliding mode control
extended Kalman filter
title Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System
title_full Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System
title_fullStr Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System
title_full_unstemmed Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System
title_short Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System
title_sort extended kalman filter based sliding mode control of parallel connected two five phase pmsm drive system
topic five-phase permanent magnet synchronous machine
five-leg voltage source inverter
multiphase space vector modulation
sliding mode control
extended Kalman filter
url http://www.mdpi.com/2079-9292/7/2/14
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AT barkatsaid extendedkalmanfilterbasedslidingmodecontrolofparallelconnectedtwofivephasepmsmdrivesystem
AT sanjeevikumarpadmanaban extendedkalmanfilterbasedslidingmodecontrolofparallelconnectedtwofivephasepmsmdrivesystem
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