Model Order Reduction of Electrical Machines with Multiple Inputs

Archive ouverte : Article de revue

Farzam Far, M. | Belahcen, A. | Rasilo, P. | Clenet, S. | Pierquin, A.

Edité par HAL CCSD

International audience. In this paper, proper orthogonal decomposition method is employed to build a reduced-order model from a high-order nonlinear permanent magnet synchronous machinemodel 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 rotationangle. To produce the lower-rank system, snapshots or instantaneous system states are projected onto a set of orthonormal basis functions with small dimension. The reducedmodel 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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