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The physics-based phase variable model of permanent magnet synchronous machines is developed for the simulation study of machine control. The parameters of the physics-based phase variable model, inductances and flux linkages are calculated from the solutions of nonlinear FE computation covering a complete AC cycle to consider the geometry details, the rotor position, the armature currents, and the...
This paper presents an approach for performing the hardware-in-the-loop simulation of PWM-based drive utilizing the physics-based phase variable machine model to represent the actual machine. A 6-pole 2 hp permanent magnet synchronous machine is used as an example. The physics-based phase variable model of the sample machines is built with parameters (inductances, flux linkages, and the cogging torque)...
The physics-based phase variable model has been developed for several types of machines and transformers. The parameters (inductance/flux linkage) of the physics-based phase variable model were determined using the solutions of field computation to actually reproduce their variations during the machine operation. The developed physics-based phase variable model has the advantage over the conventional...
In this paper, a high frequency physical phase variable model of electric machines is presented. The proposed model is composed of a low frequency phase variable model and a high frequency winding branch connected in parallel. The high frequency winding branch is used to include the distributed effects appearing at high frequency operation while the low frequency phase variable model captures the...
Statistical characterization of low-frequency noise enables the prediction of 1/f noise with dispersions. The impact of downscaling on the low-frequency noise performance of foundry AMS/RF CMOS technology is thus evaluated. Meanwhile, a novel modeling approach uses Monte-Carlo simulation is developed which includes statistical variations of individual device to capture the fluctuations in frequency...
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