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Fuzzy logic enhanced direct torque control with space vector modulation

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dc.citedby7
dc.contributor.authorTan J.-D.en_US
dc.contributor.authorKoh S.-P.en_US
dc.contributor.authorTiong S.-K.en_US
dc.contributor.authorAli K.en_US
dc.contributor.authorAbdalla A.en_US
dc.contributor.authorid38863172300en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid36130958600en_US
dc.contributor.authorid56050971600en_US
dc.date.accessioned2023-05-29T06:51:25Z
dc.date.available2023-05-29T06:51:25Z
dc.date.issued2018
dc.description.abstractOver the past few years, multiple types of modifications have been proposed onto the Direct Torque Control (DTC) scheme. Among others is the implementation of Space Vector Modulation (SVM). In this paper, two new control strategies are proposed onto an SVM-DTC. Instead of using PI torque and flux controllers, a fuzzy logic control method is implemented in the proposed modification to achieve a more constant switching frequency while minimizing the torque error. The fuzzy logic controller controls the voltages in direct and quadratic reference frame (Vd, Vq). This approach fully utilizes the switching capability of the inverter and thus improving the overall system performance. To overcome issues in open loop stator flux such as DC drift and saturation, a closed loop estimation method of stator flux is also proposed based on voltage model and low pass filter. The performance of the proposed control strategy is benchmarked with that of a conventional DTC� SVM. Simulations and experiments were carried out and the results show that the proposed method outperforms the conventional DTC-SVM in terms of DC-offset elimination and overall system robustness. � 2018 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v11.i2.pp704-710
dc.identifier.epage710
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85048181272
dc.identifier.spage704
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048181272&doi=10.11591%2fijeecs.v11.i2.pp704-710&partnerID=40&md5=0dbafb43e782d30349e6a31a31ef9839
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23740
dc.identifier.volume11
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Hybrid Gold, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleFuzzy logic enhanced direct torque control with space vector modulationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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