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In this paper, we study a pattern-context-aware scheme for stereo pattern analysis.Depth and texture are chosen as two primary factors for the pattern-context- aware computing.We organize these patterns as a context to analyze.A knowledge-based inference system is built with human experience to model the correlation of the context and processing. The process for the pattern analysis could recognize...
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 to realize an equivalent hardware representation of PM synchronous machines through a physics-based machine model for hardware-in-the-loop simulation of PWM drives. The equivalent hardware representation of the machine is achieved using a controllable load. The load current is controlled to be the same as the currents obtained over the physics-based model of the machine...
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...
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