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首页> 外文期刊>IEEE Transactions on Power Electronics >Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model
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Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model

机译：具有电路模型的异步电动机的预测直接转矩和磁通控制的鲁棒损耗最小化

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摘要

The loss model of an induction motor based on the electric circuit is known as the more comfortable model to be identified compared to the magnetic model. This model is commonly used for field-oriented control rather than direct torque control (DTC). In the recent research for applying the electric loss model for flux optimization, the core loss resistance current is ignored, since it will reduce the robustness and accuracy of the model. In this article, it is analytically proved that considering that current will reduce the sensitivity significantly. Thus, a robust loss model based on a complete electric circuit is proposed for flux optimization in predictive torque and flux control. The predictive method had been chosen because of the fast dynamic response. In order to avoid computation increase, the predictive direct voltage control is used. The validity of the proposed method is studied via experimental results.
机译：与电路模型相比，基于电路的感应电动机的损耗模型被认为是更为舒适的模型。该模型通常用于磁场定向控制，而不是直接转矩控制（DTC）。在将电损耗模型用于磁通优化的最新研究中，铁心损耗电阻电流被忽略了，因为它会降低模型的鲁棒性和准确性。本文通过分析证明，考虑到电流会大大降低灵敏度。因此，提出了一种基于完整电路的鲁棒损耗模型，用于预测转矩和磁通量控制中的磁通量优化。选择预测方法是因为其快速的动态响应。为了避免计算量增加，使用了预测直流电压控制。通过实验结果验证了该方法的有效性。

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