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交流电压智能传感器中关键采样点的估计 被引量:3

Estimation of Key Sample Voltage in AC Voltage Intelligent Sensor
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摘要 分析了交流电压智能传感器信号处理中关键采样点(0)对难测参数电压有效值U、初始相位θ精度的影响,基于拉格朗日插值法和LMS法,研究并提出了对(0)的估计算法,指出这些估计算法在几乎不添加额外开销的情况下能够有效提高U、θ特别是θ的测试精度,从而降低对电路性能的要求、简化系统、降低成本、提高测试性能。实验表明,采用这些估计方法能减少大约一半的计算用采样点数,让干扰幅值从要求的信号幅值的5%放宽到15%,θ的计算精度得到了提高。 The impact of key sample voltage (0) on computing precision of voltage RMS U and initial phase θ,which are important but difficult to test,is analyzed during the signal processing in AC voltage intelligent sensor.Estimation algorithms for (0) based on Lagrange and LMS are exploited and proposed.It is pointed out that the estimation methods can improve the U and θ measurement precision effectively,especially for θ,and the circuits performance requirement can be declined and result in system simplified,cost reduced and measurement performance improved without little additional overhead.Experiments were carried out and the results show that the approach can reduce about half the number of sample voltage used to calculate U and θ,and the noise amplitude can be permitted from less 5% to 15% of signal amplitude and the θ measurement precision is improved.
出处 《西华大学学报(自然科学版)》 CAS 2010年第3期6-8,12,共4页 Journal of Xihua University:Natural Science Edition
基金 四川省教育厅科研基金(08ZC010)
关键词 交流电压 智能传感器 参数估计 AC voltage intelligent sensor estimation
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