This paper presents the improved characteristic analysis technique for the 5-phase hybrid stepping motor used for servo systems. The basic approach is based on the equivalent magnetic circuit method not only to deal with a 3-D nature of the motor but also to save the analysis time of the motor. And, the Finite Element Method (FEM) is used to generate the circuit parameters considering the saturation effects in teeth and poles. In addition, the neural network is introduced to model the variation of the parameters and applied to predict the unknown parameter values. This paper demonstrates the effectiveness of the improved method by computer simulation and experimental results.
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