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Model Order Reduction of Electrical Machines with Multiple Inputs

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

URI
http://hdl.handle.net/10985/11834
DOI
10.1109/TIA.2017.2708019
Date
2017
Journal
IEEE Transactions on Industry Applications

Abstract

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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