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首页> 外文期刊>International Journal of Applied Engineering Research >An FPGA-BASED implementation of a Hilbert filter for Real-time Estimation of Instantaneous Frequency, Phase and Amplitude of Power System Signals
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An FPGA-BASED implementation of a Hilbert filter for Real-time Estimation of Instantaneous Frequency, Phase and Amplitude of Power System Signals

机译:基于FPGA的Hilbert滤波器实现,用于实时估计电力系统信号的瞬时频率,相位和幅度

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摘要

The instantaneous parameters, amplitude, phase and frequency of power system signals provide valuable information about the status of the power system, particularly when these parameters can be obtained simultaneously from locations that are remotely located from each other. Phasor Measurement Units (PMU's) placed at these remote locations can perform these simultaneous time synchronized measurements. In this work digital signal processing techniques and Field Programmable Gate Array (FPGA) technology was used for the real-time estimation of power system signal parameters. These parameters were estimated based upon an approach utilizing the Hilbert transform and formation of an analytic signal as a basis for the estimation of instantaneous phase, frequency and amplitude of power system signals. However, the emphasis in this work is upon the accurate estimation of instantaneous phase and frequency because of the level of complexity to accurately achieve this practically. Three different methods for frequency estimation were implemented and compared, based upon the criterion of accurate frequency measurement, to assess the efficacy of the three techniques. The MATLAB/SIMULINK simulation environment together with Xilinx System Generator, a high level digital signal processing development tool for FPGA's, was used to practically implement the estimation techniques.
机译:电力系统信号的瞬时参数,幅度,相位和频率提供有关电力系统状态的有价值的信息,特别是当这些参数可以同时从彼此远程位于彼此远程位置而获得时。放置在这些远程位置的Phasor测量单元(PMU)可以执行这些同时同步的同步测量。在该工作中,数字信号处理技术和现场可编程门阵列(FPGA)技术用于电力系统信号参数的实时估计。基于利用Hilbert变换和分析信号的方法来估计这些参数作为估计电力系统信号的瞬时相位,频率和幅度的基础。然而,在这项工作中强调是准确估计瞬时相位和频率,因为实际上可以准确地实现这一复杂程度。基于精确频率测量的标准,实现并比较了三种不同的频率估计方法,以评估三种技术的功效。 MATLAB / SIMULINK仿真环境与Xilinx系统发生器一起,用于FPGA的高级数字信号处理开发工具,实际上实现了估计技术。

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