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Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control

Recently, Finite State-Predictive Torque Control (FS-PTC) of induction motors has gained significant interest in high-performance motor drive applications. The effectiveness of FS-PTC relies on the successful minimization of a cost function achieved by selecting an appropriate voltage vector. Typica...

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Main Authors:	Alik, Rozana, Nik Idris, Nik Rumzi, Mohamad Nordin, Norjulia
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2023
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/108643/1/NikRumziNikIdris2023_EnhancedFSPTCDynamicWeightingFactors.pdf http://eprints.utm.my/108643/ http://dx.doi.org/10.11113/elektrika.v22n3.464
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spelling	my.utm.1086432024-11-24T07:01:08Z http://eprints.utm.my/108643/ Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control Alik, Rozana Nik Idris, Nik Rumzi Mohamad Nordin, Norjulia TK Electrical engineering. Electronics Nuclear engineering Recently, Finite State-Predictive Torque Control (FS-PTC) of induction motors has gained significant interest in high-performance motor drive applications. The effectiveness of FS-PTC relies on the successful minimization of a cost function achieved by selecting an appropriate voltage vector. Typically, the cost function for FS-PTC is composed of errors between the predicted and reference values of torque and flux; hence a weighting factor, \mathbit{\lambda}, is normally employed to establish different priorities between torque and flux. However, determining the optimal is a complex undertaking, since an incorrect or suboptimal choice can needlessly compromise torque or flux responses. This paper introduces an online tuning approach for the weighting factor, based on the dynamic change of flux error. Instead of using a fixed value, the weighting factor is dynamically adjusted using a simple P or PI controller. The proposed method's performance is evaluated in this paper, considering various configurations of the controller's settings. Simulation results demonstrate that the proposed technique enhances the overall torque and flux ripples across a broad range of operating speeds, surpassing the performance of the fixed value weighting factor technique. Penerbit UTM Press 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/108643/1/NikRumziNikIdris2023_EnhancedFSPTCDynamicWeightingFactors.pdf Alik, Rozana and Nik Idris, Nik Rumzi and Mohamad Nordin, Norjulia (2023) Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control. ELEKTRIKA- Journal of Electrical Engineering, 22 (3). pp. 31-36. ISSN 0128-4428 http://dx.doi.org/10.11113/elektrika.v22n3.464 DOI : 10.11113/elektrika.v22n3.464
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/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Alik, Rozana Nik Idris, Nik Rumzi Mohamad Nordin, Norjulia Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control
description	Recently, Finite State-Predictive Torque Control (FS-PTC) of induction motors has gained significant interest in high-performance motor drive applications. The effectiveness of FS-PTC relies on the successful minimization of a cost function achieved by selecting an appropriate voltage vector. Typically, the cost function for FS-PTC is composed of errors between the predicted and reference values of torque and flux; hence a weighting factor, \mathbit{\lambda}, is normally employed to establish different priorities between torque and flux. However, determining the optimal is a complex undertaking, since an incorrect or suboptimal choice can needlessly compromise torque or flux responses. This paper introduces an online tuning approach for the weighting factor, based on the dynamic change of flux error. Instead of using a fixed value, the weighting factor is dynamically adjusted using a simple P or PI controller. The proposed method's performance is evaluated in this paper, considering various configurations of the controller's settings. Simulation results demonstrate that the proposed technique enhances the overall torque and flux ripples across a broad range of operating speeds, surpassing the performance of the fixed value weighting factor technique.
format	Article
author	Alik, Rozana Nik Idris, Nik Rumzi Mohamad Nordin, Norjulia
author_facet	Alik, Rozana Nik Idris, Nik Rumzi Mohamad Nordin, Norjulia
author_sort	Alik, Rozana
title	Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control
title_short	Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control
title_full	Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control
title_fullStr	Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control
title_full_unstemmed	Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control
title_sort	enhanced fs-ptc: dynamic weighting factors for optimal flux and torque control
publisher	Penerbit UTM Press
publishDate	2023
url	http://eprints.utm.my/108643/1/NikRumziNikIdris2023_EnhancedFSPTCDynamicWeightingFactors.pdf http://eprints.utm.my/108643/ http://dx.doi.org/10.11113/elektrika.v22n3.464
_version_	1817841624785354752
score	13.223943

Enhanced FS-PTC: Dynamic weighting factors for optimal flux and torque control

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