不使用三角函数的旋转器位置传感器信号的角速度和停车矩阵估计

R. García, J. Pinto, Alex Butinhol Belini
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引用次数: 3

摘要

解析器是一种广泛应用于电动/混合动力汽车和机器人的角度位置传感器。然而,从解析器输出估计角度位置和速度也是一项困难的任务。文献中大多数算法使用三角函数来估计角度位置。然而,这些功能很难实现,特别是在fpga中。另一方面,在三相电机的速度矢量控制中,角度位置仅用于估计机械速度和Park变换矩阵。本文提出了一种不需要计算三角函数和不需要直接估计角度位置就能得到机械速度和帕克矩阵的简单方法。滤波和同步解调允许获得角位置的正弦和余弦,而滤波产生的延迟补偿和帕克矩阵的估计是利用简单的三角函数性质和利用极对的数量是一个整数来完成的。实验结果表明了该方法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Angular Speed and Park Matrix from Resolver Position Sensor Signals without Using Trigonometric Functions
Resolver is an angular position sensor widely used in electric/hybrid vehicles and robotics. However, estimating the angular position and speed from resolver outputs is as difficult task. Most algorithms in literature use trigonometric functions to estimate the angular position. However, these functions are difficult to implement, especially in FPGAs. On the other hand, in speed vector control of three-phase motors, the angular position is only used to estimate the mechanical speed and Park transformation matrix. This paper presents a simple technique to get the mechanical speed and Park matrix without calculating trigonometric functions and without estimating directly the angular position. Filtering and synchronous demodulation allows obtaining the sine and cosine of the angular position, while the compensation of the delay produced by filtering and the estimation of the Park matrix are done using simple trigonometric properties and taking advantage that the number of pole pairs is an integer number. Experimental results show the accuracy of the proposed approach.
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