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Model Order Reduction of Electrical Machines with Multiple Inputs

Article dans une revue avec comité de lecture
Auteur
FARZAM FAR, Mernhaz
BELAHCEN, Anouar
RASILO, Paavo
ccCLENET, Stephane
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
PIERQUIN, Antoine

URI
http://hdl.handle.net/10985/11834
DOI
10.1109/TIA.2017.2681967
Date
2017
Journal
IEEE Transactions on Industry Applications

Résumé

In this paper, proper orthogonal decomposition method is employed to build a reduced-order model from a high-order nonlinear permanent magnet synchronous machine model with multiple inputs. Three parameters are selected as the multiple inputs of the machine. These parameters are terminal current, angle of the terminal current, and rotation angle. To produce the lower-rank system, snapshots or instantaneous system states are projected onto a set of orthonormal basis functions with small dimension. The reduced model is then validated by comparing the vector potential, flux density distribution, and torque results of the original model, which indicates the capability of using the proper orthogonal decomposition method in the multi-variable input problems. The developed methodology can be used for fast simulations of the machine.

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

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Model Order Reduction of Electrical Machines with Multiple Inputs 
    Article dans une revue avec comité de lecture
    FARZAM FAR, M.; BELAHCEN, Anouar; RASILO, Paavo; PIERQUIN, A.; ccCLENET, Stephane (Institute of Electrical and Electronics Engineers, 2017)
    In this paper, proper orthogonal decomposition method is employed to build a reduced-order model from a high-order nonlinear permanent magnet synchronous machine model with multiple inputs. Three parameters are selected ...
  • Optimisation process to solve multirate system 
    Article dans une revue avec comité de lecture
    PIERQUIN, Antoine; HENNERON, Thomas; BRISSET, Stephane; ccCLENET, Stephane (Wydawnictwo Czasopism i Ksia̜żek Technicznych Sigma, 2015)
    The modelling of a multirate system -composed of components with heterogeneous time constants- can be done using fixed-point method. This method allows a time-discretization of each subsystem with respect to its own time ...
  • Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arnoldi-Based Krylov Methods 
    Communication avec acte
    PIERQUIN, Antoine; HENNERON, Thomas; BRISSET, Stéphane; ccCLENET, Stephane (IEEE, 2015)
    The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example ...
  • Multirate coupling of controlled rectifier and non-linear finite element model based on Waveform Relaxation Method 
    Article dans une revue avec comité de lecture
    HENNERON, Thomas; PIERQUIN, Antoine; BRISSET, Stéphane; ccCLENET, Stephane (Institute of Electrical and Electronics Engineers, 2016)
    To study a multirate system, each subsystem can be solved by a dedicated sofware with respect to the physical problem and the time constant. Then, the problem is the coupling of the solutions of the subsystems. The Waveform ...
  • Benefits of Waveform Relaxation Method and Output Space Mapping for the Optimization of Multirate Systems 
    Article dans une revue avec comité de lecture
    PIERQUIN, Antoine; BRISSET, Stéphane; HENNERON, Thomas; ccCLENET, Stephane (Institute of Electrical and Electronics Engineers, 2014)
    We present an optimization problem that requires to model a multirate system, composed of subsystems with different time constants. We use waveform relaxation method in order to simulate such a system. But computation time ...

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