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Estimation Algorithm for Current and Temperature of Field Winding in Electrically Excited Synchronous Machines With High-Frequency Brushless Exciters

机译:高频无刷励磁机电激励同步机电流和温度估计算法

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摘要

Electrically excited synchronous machines have become one of the potential alternatives to permanent magnet synchronous machines in electric vehicles to avoid rare-earth materials. Utilizing high-frequency brushless exciters for rotor excitation is a promising choice to reduce friction losses and maintenance effort and cost. However, with the usage of brushless exciters, the field current and temperature cannot be measured directly. In this article, an algorithm is proposed to dynamically estimate the field current as well as the field winding temperature. The dc-link current is utilized as a feedback to correct the estimation. The performance of the estimation algorithm is initially evaluated in simulations and then verified by experimental measurements in a prototype. Based on the estimation algorithm, closed-loop control of the field current is developed and verified experimentally.
机译:电激励同步机已成为电动汽车永磁同步机的潜在替代品之一,以避免稀土材料。利用用于转子励磁的高频无刷振动器是减少摩擦损失和维护工作和成本的有希望的选择。但是,随着无刷励磁器的使用,磁场电流和温度不能直接测量。在本文中,提出了一种算法,用于动态估计场电流以及现场绕组温度。 DC-LINK电流用作反馈以纠正估计。最初在模拟中评估估计算法的性能,然后通过原型中的实验测量来验证。基于估计算法,通过实验开发和验证了场电流的闭环控制。

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