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一种高精度旋转变压器解码算法
引用本文:张伟鹏,杨瑞峰,郭晨霞,葛双超.一种高精度旋转变压器解码算法[J].科学技术与工程,2019,19(24):157-163.
作者姓名:张伟鹏  杨瑞峰  郭晨霞  葛双超
作者单位:中北大学仪器与电子学院, 山西省自动化检测装备与系统工程技术研究中心,太原030051;中北大学仪器与电子学院, 山西省自动化检测装备与系统工程技术研究中心,太原030051;中北大学仪器与电子学院, 山西省自动化检测装备与系统工程技术研究中心,太原030051;中北大学仪器与电子学院, 山西省自动化检测装备与系统工程技术研究中心,太原030051
基金项目:国家国际科技合作项目;山西省重点研发计划项目
摘    要:针对传统旋转变压器解码成本高和精度差等问题,提出了一种新的解码算法,利用旋转变压器输出信号进行解调和归一化处理后,再经过一系列混合运算得到伪线性信号后,对此信号进行逻辑分区判断,根据判断结果进行计算得到未补偿的角度信号,最后通过非线性精度补偿以提高解码精度。研究结果表明,该算法的实现不需要利用查表法和附加参考信号就可以实现高精度解码。经过理论计算,在0°~360°,未补偿前解码误差不高于0. 072 1°,补偿后解码误差不高于8. 65°×10~(-5)。该算法在TMS320F283 35中经过实验验证,结果表明其可以准确解得角度信息,解码误差为0. 000 389°,验证了算法的可行性。

关 键 词:传感器  旋转变压器  伪线性变换  逻辑分区  精度补偿  高精度
收稿时间:2019/2/23 0:00:00
修稿时间:2019/3/24 0:00:00

Research on a High Precision Rotary Transformer Decoding Algorithm
zhang wei peng,and.Research on a High Precision Rotary Transformer Decoding Algorithm[J].Science Technology and Engineering,2019,19(24):157-163.
Authors:zhang wei peng  and
Institution:Shanxi Province Automatic Testing Equipment and System Engineering Technology Research CenterSchool of Instrument and Electronics, North University of China,,,
Abstract:Aiming at the problems of high decoding cost and poor precision of traditional rotary transformer, a new decoding algorithm is proposed, and the realization of this algorithm can realize high precision decoding without using lookup table method and additional reference signal. The concrete method is to use the output signal of the rotary transformer for demodulation and normalization, and then after a series of mixed operations to obtain the pseudo-linear signal, the logical partition of the signal is judged, the uncompensated angle signal is calculated according to the judgment result, and finally the nonlinear precision compensation is obtained to improve the decoding accuracy. After theoretical calculation, in the range of 0° to 0.0721°, the decoding error is not higher than that before compensation, and the decoding error is not higher than the 8.65x10-5 degree after compensation. The algorithm is verified experimentally in tms320f28335, and the results show that it can accurately solve the angle information and the decoding error is 0.000389°, which verifies the feasibility of the algorithm.
Keywords:sensor  resolver  pseudo linear transformation  Logical partition  precision compensation  high precision
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