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首页> 外文期刊>Industry Applications, IEEE Transactions on >MTPA Fitting and Torque Estimation Technique Based on a New Flux-Linkage Model for Interior-Permanent-Magnet Synchronous Machines
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MTPA Fitting and Torque Estimation Technique Based on a New Flux-Linkage Model for Interior-Permanent-Magnet Synchronous Machines

机译：基于新型磁链模型的永磁同步电机MTPA拟合与转矩估计技术

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摘要

The characterization of the interior-permanent-magnet synchronous machine (IPMSM) is limited due to the nonlinearity of the flux-linkage profile by using the conventional motor model. A nonlinear flux-linkage model for the IPMSM with 12 coefficients is proposed in this paper. It can generally be used to estimate the real d-axis flux linkage, q-axis flux linkage, maximum-torque-per-ampere (MTPA) locus, and torque without the information of the machine known, such as the geometry and material of the permanent magnet. The corresponding torque equation and MTPA condition are presented. An optimization problem is formulated to find the appropriate factors for the proposed model based on the measured flux-linkage data at only nine specific operating points. No selection of weight factors is required in the cost function. The desired copper-loss minimization control can be achieved and good torque identification can be implemented in real time. Both simulation and experiment have been conducted to validate the proposed algorithm in motoring and generating modes. Compared with the conventional IPMSM model, the torque estimation accuracy has been significantly improved by considering the saturation and cross-coupling effects in the nonlinear flux-linkage model of the machine.
机译：由于使用常规电动机模型的磁链曲线的非线性，因此内部永磁同步电机（IPMSM）的特性受到限制。提出了具有12个系数的IPMSM的非线性磁链模型。它通常可用于估计实际的d轴磁链，q轴磁链，最大每安培转矩（MTPA）轨迹和转矩，而无需了解机器的已知信息，例如转子的几何形状和材料永磁体。给出了相应的转矩方程式和MTPA条件。根据仅在九个特定工作点处测得的磁链数据，制定了一个优化问题，以找到适合于所建议模型的因素。成本函数中不需要选择权重因子。可以实现所需的铜损最小化控制，并且可以实时实现良好的扭矩识别。进行了仿真和实验，以验证该算法在电动和发电模式下的有效性。与传统的IPMSM模型相比，通过在电机的非线性磁链模型中考虑饱和和交叉耦合效应，转矩估计精度得到了显着提高。

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