永磁同步电机与逆变器的联合识别
Joint identification of permanent magnet synchronous machine and inverter
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中文总结 AI 辅助
研究永磁同步电机与逆变器联合识别问题，利用张量积样条模型，从指令电压输入增强离线磁通识别，无需事先识别逆变器参数，经有限元模拟和试验台数据验证，可大幅改进磁通模型。
中文摘要 AI 辅助
在电力驱动建模中，识别磁通图对于准确预测转矩、为转矩跟踪参数化控制器或创建仿真模型至关重要。然而，控制器输出的电压（指令电压）通常会受到逆变器非线性的干扰，这需要考虑在内。本文提出了一种新方法，从指令电压输入增强离线磁通识别，无需事先识别逆变器参数。在dq参考系中，磁通图表示为dq磁通与dq电流之间的静态关系。利用张量积样条模型准确捕捉饱和及交叉饱和效应。电压干扰对估计磁通图的影响不可忽略。结果表明，磁通图与简单逆变器模型的联合识别可大幅改进磁通模型。该方法在有限元模拟和试验台数据上得到验证。
英文摘要
In electric drive modeling, identifying the magnetic flux maps is essential for predicting accurately the torque, parameterizing a controller for tracking the torque or creating a simulation model. However, the voltage output by the controller (commanded voltage) is usually disturbed by non-linearity of the inverter, which needs to be taken into account. This paper presents a novel approach to enhance the offline flux identification from commanded voltage inputs, circumventing the need for prior identification of inverter parameters. In the dq reference frame, the flux maps are represented as static relationships between dq fluxes and dq currents. We utilize a tensor product spline model to accurately capture saturation and cross-saturation effects. The effects of the voltage disturbance on the estimated flux maps are not negligible. It is demonstrated that a joint identification of the flux maps and a simple model of the inverter can highly improve the flux model. The method is validated on FEM simulation and test-bench data.
