• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire d'Electrotechnique et d'Electronique de Puissance (L2EP) de Lille
  • View Item
  • Home
  • Laboratoire d'Electrotechnique et d'Electronique de Puissance (L2EP) de Lille
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Optimal Efficiency Control of Synchronous Reluctance Motors-based ANN Considering Cross Magnetic Saturation and Iron Loss

Communication avec acte
Author
TRUONG, Phuoc Hoa
FLIELLER, Damien
MERCKLE, Jean
25826 Modélisation, Intelligence, Processus et Système [MIPS]
NGUYEN, Ngac Ky
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]

URI
http://hdl.handle.net/10985/9947
Date
2015

Abstract

This paper presents a new idea by using the Artificial Neural Networks (ANNs) for estimating the parameters of the machine which achieving the maximum efficiency of the Synchronous Reluctance Motor (SynRM). This model take into consideration the magnetic saturation, cross-coupling and iron loss. With Finite Element Analysis (FEA), the characteristics of the SynRM including inductances and iron loss resistance are determined. Because of the non-linear characteristics, an ANN trained off-line, is then proposed to obtain the d-q inductances and iron loss resistance from Id,Iq currents and the speed. After learning process, an analytical expression of the optimal currents is given thanks to Lagrange optimization. Therefore, the optimal currents will be obtained online in real time. This method can be achieved with maximum efficiency and high-precision torque control. Simulation and experimental results are presented to confirm the validity of the proposed method.

Files in this item

Name:
L2EP_IECON_2015_NGUYEN.pdf
Size:
772.4Kb
Format:
PDF
Description:
article principal
View/Open

Collections

  • Laboratoire d'Electrotechnique et d'Electronique de Puissance (L2EP) de Lille

Related items

Showing items related by title, author, creator and subject.

  • Torque ripple minimization in non-sinusoidal synchronous reluctance motors based on artificial neural networks 
    Article dans une revue avec comité de lecture
    TRUONG, Phuoc Hoa; FLIELLER, Damien; MERCKLE, Jean; STURTZER, Guy; NGUYEN, Ngac Ky (Electric Power Systems Research, Elsevier, 2016)
    This paper proposes a new method based on Artificial Neural Networks for reducing the torque ripple in a non-sinusoidal Synchronous Reluctance Motor. The Lagrange optimization method is used to solve the problem of calculating ...
  • A Self-Learning Solution for Torque Ripple Reduction for Non-Sinusoidal Permanent Magnet Motor Drives Based on Artificial Neural Networks 
    Article dans une revue avec comité de lecture
    FLIELLER, Damien; WIRA, Patrick; STURTZER, Guy; OULD ABDESLAM, Djaffar; MERCKLE, Jean; NGUYEN, Ngac Ky (Institute of Electrical and Electronics Engineers, 2013)
    This paper presents an original method, based on artificial neural networks, to reduce the torque ripple in a permanent-magnet non-sinusoidal synchronous motor. Solutions for calculating optimal currents are deduced from ...
  • Analytical Optimal Currents for Multiphase PMSMs Under Fault Conditions and Saturation 
    Communication avec acte
    FLIELLER, Damien; ccSEMAIL, Eric; ccKESTELYN, Xavier; NGUYEN, Ngac Ky (IEEE, 2014)
    An original analytical expression is presented in this paper to obtain optimal currents minimizing the copper losses of a multi-phase Permanent Magnet Synchronous Motor (PMSM) under fault conditions. Based on the existing ...
  • Variable speed Control under Voltage and Current Limits of a 5-phase PMSM drive in Healthy and Open-Circuited Modes 
    Article dans une revue avec comité de lecture
    FALL, Ousmane; CHARPENTIER, Jean-Frederic; LETELLIER, Paul; ccSEMAIL, Eric; ccKESTELYN, Xavier; NGUYEN, Ngac Ky (Elsevier, 2016)
    This paper proposes a novel variable speed control strategy of a particular 5-phase Permanent Magnet Synchronous Generator (PMSG) in healthy and faulty modes by taking into account the constraints on voltages and currents. ...
  • Performances comparison of different concentrated-winding configurations for 5-phase PMSG in normal and faulty modes in flux weakening operation for fixed pitch tidal turbines 
    Communication avec acte
    FALL, Ousmane; CHARPENTIER, Jean-Frederic; NGUYEN, Ngac Ky; LETELLIER, Paul (IEEE, 2016)
    This paper aims to evaluate some configurations of windings for low speed high power 5-phase permanent magnet synchronous generators (PMSG) associated to fixed pitch tidal turbines. Several Fractional-Slot Concentrated- ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales