Short-Period Error Suppression Method of PCB-Based Inductive Linear Displacement Sensor
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摘要:
在直线位移测量中,基于PCB (printed circuit board)工艺的新型电磁感应式位移传感器因具有较大栅距,在制造、装配等工艺环节易导致短周期误差. 在所导致的短周期误差类型中,1次和4次误差是PCB型电磁感应式直线位移传感器中最常见的短周期误差. 为减小测量过程中产生的1次和4次误差,本文从输出信号出发,针对此2种误差的产生机理开展研究,并提出一种不依赖外部基准的误差自我修正方法. 首先,从理论层面分析短周期1次和4次误差的来源,以及2种误差与传感器原始SIN (sine)和COS (cosine)信号的函数关系;然后,建立基于传感器原始SIN和COS信号特征的短周期误差函数模型,并根据本文传感器样机的实测数据计算出误差函数模型中1次和4次误差的相应参数;最后,将1次和4次误差模型用于传感器样机的误差补偿. 研究结果表明:补偿后的样机实验结果显示误差峰值由51.6 μm减小到36.2 μm,其中,短周期1次误差减小了约64.5%,短周期4次误差减小了约83.0%.
Abstract:In the linear displacement measurement, the printed circuit board (PCB)-based new inductive displacement sensors is easy to lead to short-period errors in manufacturing, assembly, and other process links because of its large pitch. Among the types of short-period errors caused, the first-order and fourth-order errors are the most common short-period errors in PCB-based inductive linear displacement sensors. Therefore, in order to reduce the first-order and fourth-order errors, the generation mechanism of these two kinds of errors was first studied from the output signals, and then an error self-correction method that did not depend on external reference was proposed. Firstly, the sources of short-period first-order and fourth-order errors and the functions of the two errors with the original sine (SIN) and cosine (COS) signals of the sensor were analyzed theoretically. Then, a short-period error function model based on the characteristics of the original SIN and COS signals of the sensor was established, and the corresponding parameters of the first-order and fourth-order errors in the error function model were calculated based on the measured data of the sensor prototype. Finally, the first-order and fourth-order error models were used for the error compensation of the sensor prototype. The results of prototype experiments show that the peak-to-peak value of the error after compensation is reduced from 51.6 μm to 36.2 μm. The short-period first-order error is reduced by about 64.5%, and the short-period fourth-order error is reduced by about 83.0%.
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Key words:
- sensor /
- linear displacement /
- induction /
- error suppression /
- self-correction
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表 1 误差函数
Table 1. Error functions
误差频次/次 误差函数 1 $0.008\;3\sin \left( { - \dfrac{ { { {2\text{π} } }x} }{L} - 0.665} \right)$ 4 $0.006\;7\sin \left( {4 \times \dfrac{ { { {2\text{π} } }x} }{L} + 5.568} \right)$ -
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