Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives

Torque calculation process is one of the major concerns for controlling induction motors in industry, which requires very accurate state estimation of unmeasurable variables of nonlinear models. This can be solved if the variables used for torque calculation is accurately estimated. This paper prese...

Full description

Bibliographic Details
Main Authors: Mohd. Alsofyani, Ibrahim, Nik Idris, Nik Rumzi, Alamri, Yahya Ahmed, Sutikno, Tole, Wangsupphaphol, Aree, Mohamad Nordin, Norjulia
Format: Article
Published: Institute of Advanced Engineering and Science 2015
Subjects:
_version_ 1796860443167293440
author Mohd. Alsofyani, Ibrahim
Nik Idris, Nik Rumzi
Alamri, Yahya Ahmed
Sutikno, Tole
Wangsupphaphol, Aree
Mohamad Nordin, Norjulia
author_facet Mohd. Alsofyani, Ibrahim
Nik Idris, Nik Rumzi
Alamri, Yahya Ahmed
Sutikno, Tole
Wangsupphaphol, Aree
Mohamad Nordin, Norjulia
author_sort Mohd. Alsofyani, Ibrahim
collection ePrints
description Torque calculation process is one of the major concerns for controlling induction motors in industry, which requires very accurate state estimation of unmeasurable variables of nonlinear models. This can be solved if the variables used for torque calculation is accurately estimated. This paper presents a torque calculation based on a voltage model represented with a low-pass filter (LPF), and an extended Kalman filter (EKF). The experimental results showed that the estimated torque at low speed based on EKF is more accurate in the expense of more complicated and larger computational time. © 2015 Institute of Advanced Engineering and Science.
first_indexed 2024-03-05T19:41:26Z
format Article
id utm.eprints-58108
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:41:26Z
publishDate 2015
publisher Institute of Advanced Engineering and Science
record_format dspace
spelling utm.eprints-581082021-10-07T03:55:10Z http://eprints.utm.my/58108/ Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives Mohd. Alsofyani, Ibrahim Nik Idris, Nik Rumzi Alamri, Yahya Ahmed Sutikno, Tole Wangsupphaphol, Aree Mohamad Nordin, Norjulia TK Electrical engineering. Electronics Nuclear engineering Torque calculation process is one of the major concerns for controlling induction motors in industry, which requires very accurate state estimation of unmeasurable variables of nonlinear models. This can be solved if the variables used for torque calculation is accurately estimated. This paper presents a torque calculation based on a voltage model represented with a low-pass filter (LPF), and an extended Kalman filter (EKF). The experimental results showed that the estimated torque at low speed based on EKF is more accurate in the expense of more complicated and larger computational time. © 2015 Institute of Advanced Engineering and Science. Institute of Advanced Engineering and Science 2015 Article PeerReviewed Mohd. Alsofyani, Ibrahim and Nik Idris, Nik Rumzi and Alamri, Yahya Ahmed and Sutikno, Tole and Wangsupphaphol, Aree and Mohamad Nordin, Norjulia (2015) Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives. International Journal Of Power Electronics And Drive Systems, 6 (1). pp. 92-99. ISSN 2086-9614 http://dx.doi.org/10.11591/ijpeds.v6.i1.pp92-99 DOI: 10.11591/ijpeds.v6.i1.pp92-99
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd. Alsofyani, Ibrahim
Nik Idris, Nik Rumzi
Alamri, Yahya Ahmed
Sutikno, Tole
Wangsupphaphol, Aree
Mohamad Nordin, Norjulia
Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives
title Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives
title_full Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives
title_fullStr Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives
title_full_unstemmed Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives
title_short Comparison of estimated torques using low pass filter and extended Kalman filter for induction motor drives
title_sort comparison of estimated torques using low pass filter and extended kalman filter for induction motor drives
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT mohdalsofyaniibrahim comparisonofestimatedtorquesusinglowpassfilterandextendedkalmanfilterforinductionmotordrives
AT nikidrisnikrumzi comparisonofestimatedtorquesusinglowpassfilterandextendedkalmanfilterforinductionmotordrives
AT alamriyahyaahmed comparisonofestimatedtorquesusinglowpassfilterandextendedkalmanfilterforinductionmotordrives
AT sutiknotole comparisonofestimatedtorquesusinglowpassfilterandextendedkalmanfilterforinductionmotordrives
AT wangsupphapholaree comparisonofestimatedtorquesusinglowpassfilterandextendedkalmanfilterforinductionmotordrives
AT mohamadnordinnorjulia comparisonofestimatedtorquesusinglowpassfilterandextendedkalmanfilterforinductionmotordrives