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Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching

This article proposes a new model predictive torque control (MPTC) for induction motors to improve its robustness against parameter mismatching when current model (CM) for flux estimation is employed. The main advantages of the proposed method are the improved range of stable operation during the oc...

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Main Authors: Abbasi, Muhammad Abbas, Husain, Abdul Rashid, Nik Idris, Nik Rumzi, Rehman, S. M. Fasih ur
Format: Article
Published: John Wiley and Sons Ltd 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/94318/
http://dx.doi.org/10.1002/2050-7038.12927
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spelling my.utm.943182022-03-31T15:34:25Z http://eprints.utm.my/id/eprint/94318/ Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching Abbasi, Muhammad Abbas Husain, Abdul Rashid Nik Idris, Nik Rumzi Rehman, S. M. Fasih ur TK Electrical engineering. Electronics Nuclear engineering This article proposes a new model predictive torque control (MPTC) for induction motors to improve its robustness against parameter mismatching when current model (CM) for flux estimation is employed. The main advantages of the proposed method are the improved range of stable operation during the occurrence of mutual inductance Lm, mismatched value, lower computational burden, and reduced switching losses. The improvement in robustness is achieved via adaptation of direct torque control (DTC) features thus eliminating any additional parameter estimation mechanism. Reference transformation is used to remove torque error from the cost function to achieve weighting-factor-free MPTC formulation. Then, based on the estimated and reference stator flux vector positions, it is established that flux positional error is directly proportional to the torque error. The positional error is then employed to reduce the admissible voltage vectors, which decreases parameter dependence of MPTC. The simulation results are compared to two other well-established MPTC techniques and based on the results, it is concluded that the proposed MPTC without parameter estimation and compensation technique have a wider tolerability of 56% for Lm mismatching. John Wiley and Sons Ltd 2021-08 Article PeerReviewed Abbasi, Muhammad Abbas and Husain, Abdul Rashid and Nik Idris, Nik Rumzi and Rehman, S. M. Fasih ur (2021) Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching. International Transactions on Electrical Energy Systems, 31 (8). ISSN 2050-7038 http://dx.doi.org/10.1002/2050-7038.12927 DOI:10.1002/2050-7038.12927
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abbasi, Muhammad Abbas
Husain, Abdul Rashid
Nik Idris, Nik Rumzi
Rehman, S. M. Fasih ur
Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
description This article proposes a new model predictive torque control (MPTC) for induction motors to improve its robustness against parameter mismatching when current model (CM) for flux estimation is employed. The main advantages of the proposed method are the improved range of stable operation during the occurrence of mutual inductance Lm, mismatched value, lower computational burden, and reduced switching losses. The improvement in robustness is achieved via adaptation of direct torque control (DTC) features thus eliminating any additional parameter estimation mechanism. Reference transformation is used to remove torque error from the cost function to achieve weighting-factor-free MPTC formulation. Then, based on the estimated and reference stator flux vector positions, it is established that flux positional error is directly proportional to the torque error. The positional error is then employed to reduce the admissible voltage vectors, which decreases parameter dependence of MPTC. The simulation results are compared to two other well-established MPTC techniques and based on the results, it is concluded that the proposed MPTC without parameter estimation and compensation technique have a wider tolerability of 56% for Lm mismatching.
format Article
author Abbasi, Muhammad Abbas
Husain, Abdul Rashid
Nik Idris, Nik Rumzi
Rehman, S. M. Fasih ur
author_facet Abbasi, Muhammad Abbas
Husain, Abdul Rashid
Nik Idris, Nik Rumzi
Rehman, S. M. Fasih ur
author_sort Abbasi, Muhammad Abbas
title Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
title_short Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
title_full Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
title_fullStr Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
title_full_unstemmed Modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
title_sort modified model predictive torque control for induction motors with improved robustness against mutual inductance mismatching
publisher John Wiley and Sons Ltd
publishDate 2021
url http://eprints.utm.my/id/eprint/94318/
http://dx.doi.org/10.1002/2050-7038.12927
_version_ 1729703155142230016
score 13.211869

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