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Efficiency Optimization Strategy for Switched Reluctance Generator System With Position Sensorless Control
IEEE/ASME Transactions on Mechatronics ( IF 6.1 ) Pub Date : 2020-10-09 , DOI: 10.1109/tmech.2020.3030001
Hao Chen , Rui Nie , Jason Gu , Shuang Yan , Renming Zhao

A novel efficiency optimization strategy combined with a position estimation method is proposed for switched reluctance generators (SRGs) in this article. This practical performance improvement strategy can expand the application of SRGs small-scale wind energy generation system, which is a good solution for mitigating the fossil energy crisis. First, the position estimation method based on current injection of the idle phase is presented. The angle error caused by sampling in this method aggravates with speed. Accordingly, an error compensation strategy in the linear range of inductance is suggested. Second, a method for improving the efficiency of SRG system current is proposed. It determines the range of turn- off angle with the minimum root-mean-square value of phase current, and further obtains the optimal turn- on angle by the fitting expression to improve the efficiency. This efficiency optimization strategy combined with the new position estimation method can greatly enhance the efficiency and reliability of SRG system and eliminate the position sensor. There are many simulation and experiment results that validate the effectiveness of the proposed schemes.

中文翻译:

无位置传感器控制的开关磁阻发电机系统效率优化策略

本文针对开关磁阻发电机(SRG)提出了一种结合位置估计方法的效率优化新策略。这种实用的性能改进策略可以扩展SRGs小型风能发电系统的应用,这是缓解化石能源危机的良好解决方案。首先,提出了一种基于空载电流注入的位置估计方法。用这种方法采样引起的角度误差会随着速度的增加而加剧。因此,提出了在电感线性范围内的误差补偿策略。其次,提出了一种提高SRG系统电流效率的方法。它确定转弯范围 离开 与最小相电流的均方根值成正比,进而获得最佳匝数 通过拟合表达角度来提高效率。这种效率优化策略与新的位置估计方法相结合,可以大大提高SRG系统的效率和可靠性,并消除位置传感器。有许多仿真和实验结果验证了所提方案的有效性。
更新日期:2020-10-09
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