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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Main Authors: Saad Khadar, Almoataz Y. Abdelaziz, Zakaria M. Salem Elbarbary, Mahmoud A. Mossa
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Machines
Subjects:
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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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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