An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation
This paper introduces a sensorless nonlinear control scheme based on feedback linearization control (FLC) of an open-end winding five-phase induction motor (OeW-5PIM) topology fed by a dual neutral point clamped (NPC) inverter. The suggested sensorless control is combined with the sliding mode (SM)...
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MDPI AG
2023-04-01
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Series: | Machines |
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Online Access: | https://www.mdpi.com/2075-1702/11/4/469 |
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author | Saad Khadar Almoataz Y. Abdelaziz Zakaria M. Salem Elbarbary Mahmoud A. Mossa |
author_facet | Saad Khadar Almoataz Y. Abdelaziz Zakaria M. Salem Elbarbary Mahmoud A. Mossa |
author_sort | Saad Khadar |
collection | DOAJ |
description | This paper introduces a sensorless nonlinear control scheme based on feedback linearization control (FLC) of an open-end winding five-phase induction motor (OeW-5PIM) topology fed by a dual neutral point clamped (NPC) inverter. The suggested sensorless control is combined with the sliding mode (SM) controller to improve the dynamic performance (i.e., rising time, overshoot, etc.) of the studied motor. Furthermore, a stator-current-based model reference adaptive system (SC-MRAS) estimator is designed for the estimation of the rotor flux and the motor speed. In parallel, to enhance the robustness of the designed sensorless control against motor parameter changes, an adaptive estimation method is suggested to estimate the rotor and stator resistances during low-speed ranges. The estimation method of motor resistances is associated with the suggested sensorless control to further improve the speed estimation accuracy and minimize the speed estimation error. Finally, the effectiveness and correctness of the suggested control with the examined estimators are validated in real-time implementation using a hardware-in-the-loop (HIL) based on the dSpace 1103 board. |
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institution | Directory Open Access Journal |
issn | 2075-1702 |
language | English |
last_indexed | 2024-03-11T04:48:38Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
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series | Machines |
spelling | doaj.art-71d854d8ba004f009c88c31a767e0b952023-11-17T20:09:03ZengMDPI AGMachines2075-17022023-04-0111446910.3390/machines11040469An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop ImplementationSaad Khadar0Almoataz Y. Abdelaziz1Zakaria M. Salem Elbarbary2Mahmoud A. Mossa3Laboratory of Applied Automation and Industrial Diagnosis, Faculty of Sciences and Technology, Ziane Achour University, Djelfa 17000, AlgeriaFaculty of Engineering and Technology, Future University in Egypt, Cairo 11835, EgyptDepartment of Electrical Engineering, College of Engineering, King Khalid University, Abha 61413, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, EgyptThis paper introduces a sensorless nonlinear control scheme based on feedback linearization control (FLC) of an open-end winding five-phase induction motor (OeW-5PIM) topology fed by a dual neutral point clamped (NPC) inverter. The suggested sensorless control is combined with the sliding mode (SM) controller to improve the dynamic performance (i.e., rising time, overshoot, etc.) of the studied motor. Furthermore, a stator-current-based model reference adaptive system (SC-MRAS) estimator is designed for the estimation of the rotor flux and the motor speed. In parallel, to enhance the robustness of the designed sensorless control against motor parameter changes, an adaptive estimation method is suggested to estimate the rotor and stator resistances during low-speed ranges. The estimation method of motor resistances is associated with the suggested sensorless control to further improve the speed estimation accuracy and minimize the speed estimation error. Finally, the effectiveness and correctness of the suggested control with the examined estimators are validated in real-time implementation using a hardware-in-the-loop (HIL) based on the dSpace 1103 board.https://www.mdpi.com/2075-1702/11/4/469five-phase induction motoropen-end windingparameters estimationSC-MRAS estimatorhardware-in-the-loop platformsensorless control |
spellingShingle | Saad Khadar Almoataz Y. Abdelaziz Zakaria M. Salem Elbarbary Mahmoud A. Mossa An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation Machines five-phase induction motor open-end winding parameters estimation SC-MRAS estimator hardware-in-the-loop platform sensorless control |
title | An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation |
title_full | An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation |
title_fullStr | An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation |
title_full_unstemmed | An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation |
title_short | An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation |
title_sort | improved sensorless nonlinear control based on sc mras estimator of open end winding five phase induction motor fed by dual npc inverter hardware in the loop implementation |
topic | five-phase induction motor open-end winding parameters estimation SC-MRAS estimator hardware-in-the-loop platform sensorless control |
url | https://www.mdpi.com/2075-1702/11/4/469 |
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