Torque ripple minimization of PMSM using an adaptive Elman neural network‐controlled feedback linearization‐based direct torque control strategy-Reference-Cited by-同舟云学术

Torque ripple minimization of PMSM using an adaptive Elman neural network‐controlled feedback linearization‐based direct torque control strategy

Published:2020-10-31 Issue:1 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

R Sitharthan¹^ORCID,Krishnamoorthy Sujatha²,Sanjeevikumar Padmanaban³^ORCID,Holm‐Nielsen Jens Bo³,R Raja Singh¹,M Rajesh⁴

Affiliation:

1. Department of Electrical Engineering, School of Electrical Engineering Vellore Institute of Technology and Science Vellore Tamil Nadu India

2. Department of Computer Science Wenzhou‐Kean University Wenzhou China

3. Center for Bioenergy and Green Engineering, Department of Energy Technology Aalborg University Esbjerg Denmark

4. Department of Computer Science Sanjivani College of Engineering Kopargaon Maharashtra India

Funder

Science and Engineering Research Board

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12685

Reference32 articles.

1. Model Predictive Direct Speed Control With Torque Oscillation Reduction for PMSM Drives

2. Optimal voltage vector in current control of PMSM considering torque ripple and reduction of the number of switching operations

3. Deadbeat Direct Torque and Flux Control for Permanent Magnet Synchronous Motor Based on Stator Flux Oriented

4. An improved nonlinear model predictive direct speed control of permanent magnet synchronous motors

5. Direct torque control strategy for dc‐biased Vernier reluctance machines capable of zero sequence current regulation;Yu Z;IEEE Trans Ind Electron.,2020

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