Model order reduction (MOR) methods are more and more applied on many different\nfields of physics in order to reduce the number of unknowns and thus the\ncomputational time of large-scale systems. However, their application is quite recent in\nthe field of computational electromagnetics. In the case of electrical machine, the\nnumerical model has to take into account the nonlinear behaviour of ferromagnetic\nmaterials, motion of the rotor, circuit equations and mechanical coupling. In this\ncontext, we propose to apply the proper orthogonal decomposition combined with\nthe (Discrete) empirical interpolation method in order to reduce the computation time\nrequired to study the start-up of an electrical machine until it reaches the steady state.\nAn empirical offline/online approach based on electrical engineering is proposed in\norder to build an efficient reduced model accurate on the whole operating range.\nFinally, a 2D example of a synchronous machine is studied with a reduced model\ndeduced from the proposed approach.
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