Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives
Position control in electrical drives is a challenging problem which is complicated by sensor noise and unknown disturbances. This paper proposes a new cascade sensorless speed control technique for induction motor drives suitable for electric vehicle applications using the full-order adaptive Luenb...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/6570942 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832550599506264064 |
---|---|
author | Asma Boulmane Youssef Zidani Mohammed Chennani Driss Belkhayat |
author_facet | Asma Boulmane Youssef Zidani Mohammed Chennani Driss Belkhayat |
author_sort | Asma Boulmane |
collection | DOAJ |
description | Position control in electrical drives is a challenging problem which is complicated by sensor noise and unknown disturbances. This paper proposes a new cascade sensorless speed control technique for induction motor drives suitable for electric vehicle applications using the full-order adaptive Luenberger observer that is insensitive to measurement noise and parametric variation. The adaptive speed law is obtained by the Lyapunov method using the estimated currents and fluxes. This technique ensures the stability of the induction motor considered as nonlinear dynamic system. Since the Luenberger observer works on deterministic environment, and it is most effective when sensor noise is limited, the present study aims to design a robust observer insensitive to measurement noise and parametric variation integrated in a cascade structure. The observer allows the filtering of the measured currents. To highlight the advantages of the new scheme, a comparative study and spectrum analysis will be presented. The proposed structure is verified using MATLAB/Simulink. |
format | Article |
id | doaj-art-f9b071d10c194b9bbb462f97a9faedd4 |
institution | Kabale University |
issn | 2090-0147 2090-0155 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-f9b071d10c194b9bbb462f97a9faedd42025-02-03T06:06:26ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552020-01-01202010.1155/2020/65709426570942Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor DrivesAsma Boulmane0Youssef Zidani1Mohammed Chennani2Driss Belkhayat3Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoFaculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoFaculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoFaculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoPosition control in electrical drives is a challenging problem which is complicated by sensor noise and unknown disturbances. This paper proposes a new cascade sensorless speed control technique for induction motor drives suitable for electric vehicle applications using the full-order adaptive Luenberger observer that is insensitive to measurement noise and parametric variation. The adaptive speed law is obtained by the Lyapunov method using the estimated currents and fluxes. This technique ensures the stability of the induction motor considered as nonlinear dynamic system. Since the Luenberger observer works on deterministic environment, and it is most effective when sensor noise is limited, the present study aims to design a robust observer insensitive to measurement noise and parametric variation integrated in a cascade structure. The observer allows the filtering of the measured currents. To highlight the advantages of the new scheme, a comparative study and spectrum analysis will be presented. The proposed structure is verified using MATLAB/Simulink.http://dx.doi.org/10.1155/2020/6570942 |
spellingShingle | Asma Boulmane Youssef Zidani Mohammed Chennani Driss Belkhayat Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives Journal of Electrical and Computer Engineering |
title | Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives |
title_full | Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives |
title_fullStr | Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives |
title_full_unstemmed | Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives |
title_short | Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives |
title_sort | design of robust adaptive observer against measurement noise for sensorless vector control of induction motor drives |
url | http://dx.doi.org/10.1155/2020/6570942 |
work_keys_str_mv | AT asmaboulmane designofrobustadaptiveobserveragainstmeasurementnoiseforsensorlessvectorcontrolofinductionmotordrives AT youssefzidani designofrobustadaptiveobserveragainstmeasurementnoiseforsensorlessvectorcontrolofinductionmotordrives AT mohammedchennani designofrobustadaptiveobserveragainstmeasurementnoiseforsensorlessvectorcontrolofinductionmotordrives AT drissbelkhayat designofrobustadaptiveobserveragainstmeasurementnoiseforsensorlessvectorcontrolofinductionmotordrives |