电流和磁通馈电短斜绕组开关磁阻电动机相体电感的黑盒辨识

M. Fouadi, A. Naitali
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引用次数: 0

摘要

提出了一种解决强饱和情况下电流和磁通馈电短斜绕组开关磁阻电动机辨识问题的新方法。这是通过扩展由用户定义的组合周期函数和平滑函数跨越的高维特征空间中的旋转周期性和磁饱和度来完成的。该识别方案的重要性在于所构建的模型具有良好的泛化能力、对输出测量噪声的鲁棒性以及作为估计、预测或诊断工具的多样性。此外,在进行识别实验时不需要特别注意,因为这些数据可以在车辆正常运行状态下收集。在涉及傅立叶级数和有理多项式函数的汽车应用中,在测量噪声存在的情况下,对60kw SRM的识别结果是相当令人满意的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Black Box Identification of the Phase Bulk Inductance of Current and Flux Fed Short Pitched Winding Switched Reluctance Motors
A New solution to the identification problem of current and flux fed Short Pitched Winding Switched Reluctance Motors (SPW-SRM) in the presence of strong saturation is developed. This is done by expanding the rotational periodicity and magnetic saturation in a high dimensional feature space spanned by a user defined combined periodic and smooth functions. The importance of this identification scheme lies in the good generalization ability of the constructed models, their robustness with respect to output measurement noise, and the diversity of their use as an estimation, prediction or diagnosis tool. Furthermore, no particular attention is required while the identification experiment since that data can be collected in vehicle normal operating regimes. Identification results obtained for a 60 kW SRM in the presence of measurement noise within automotive applications involving Fourier series and rational polynomial functions are quite satisfactory.
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