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The low-efficiency design method of traditional motor usually needs a long time, so Cloud Computing is introduced for the traditional FEM and BP neural network to reduce the time consuming. In this paper, the electromagnetic axial torque of permanent magnet synchronous motor (PMSM) is used as calculation case. The utilizing Cloud Computing curtails approximately 4 times hour to calculate this case...
A two-dimensional (2-D) field-circuit coupled finite element model of induction motor (IM) is built. The equivalent circuit of three-phase squirrel cage rotor is modeled. Based on time-stepping finite elements analysis (T-S FEA), core loss in the stator of a no-load IM under sinusoidal and Sinusoidal Pulse Width Modulation (SPWM) excitations is studied. The rotating flux density distributions with...
Two kinds of modeling methods are studied based on measuring flux linkage curves for switched reluctance motor (SRM) which the machine geometry is unknowable. A simplified model of SRM is presented for general switched reluctance drive (SRD), which is easy to be built and its accuracy has been improved compared with the quasi-linear model. To get an accurate model, the BP Neural Network (BPNN) nonlinear...
Flux-linkage characteristics and torque characteristics of switched reluctance motor (SRM) are all highly nonlinear function of rotor position and phase current, it is difficult to be expressed accurately by analytic formula. The torque model of SRM with small scale, convergence and accuracy by optimizing network structure and algorithm is developed in this paper by back propagation (BP) neural network...
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