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ADE9078 数据表(PDF) 37 Page - Analog Devices |
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ADE9078 数据表(HTML) 37 Page - Analog Devices |
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37 / 108 page ![]() ADE9078 Data Sheet Rev. 0 | Page 36 of 107 Power-Based and Filter-Based RMS Measurement Algorithms Filter-Based Total RMS The ADE9078 offers current and voltage rms measurements, which are calculated by squaring the input signal, low-pass filtering, and then taking the square root of the result, as shown in Figure 54. x2 215 xRMSOS xRMS 52,866,837 xV_PCF OR xI_PCF VOLTAGE OR CURRENT CHANNEL WAVEFORM Figure 54. Filter Based RMS The low-pass filter, LPF2, extracts the rms value, attenuating harmonics of a 50 Hz or 60 Hz fundamental by at least 64 dB so that at full scale, the variation in the calculated rms value is very small, ±0.064% error. Note that the rms reading variation increases as the input signal becomes smaller because the noise in the measurement increases. The filter based rms measurement is typically within 0.5% error over a 5000:1 dynamic range and within 0.1% error over a 1000:1 dynamic range. Refer to the specifications in Table 1 to understand what performance to expect from this measurement. Note that the xRMS register does not read 0 with the xP and xN inputs shorted together. The filter based rms has a bandwidth of 1.6 kHz, as given in Table 1. The rms calculations, one for each channel, AIRMS, BIRMS, CIRMS, NIRMS, AVRMS, BVRMS, and CVRMS, are updated every 4 kSPS. The ISUMRMS calculation uses the same method to calculate ISUMRMS, where ISUM = IA + IB + IC ± IN, and also updates at 4 kSPS (see the Neutral Current RMS, RMS of Sum of Instantaneous Currents section for more information). The xRMS value at full scale is 52,866,837d. Table 13 shows the rms settling time to 99% of full scale for a 50 Hz signal. Table 13. RMS Settling Time Configuration RMS Settling Time, FS = 99% (sec) Integrator On, HPF On, and LPF2 On 1.09 Integrator Off, HPF On, and LPF2 On 0.96 For high performance at small input signals, below 1000:1, it is recommended to calibrate the offset of this measurement using the xRMSOS registers. The offset must be calibrated at the smallest input signal that requires good performance—do not calibrate this measurement with zero input signal. The following equation indicates how the xRMSOS register value modifies the result in the xRMS register: xRMSOS xRMS0 xRMS 15 2 2 where xRMS0 is the initial xRMS register value before offset calibration. At 1000:1, the expected xRMS0 = 52,866,837/1000 = 52,866.837. Then, one bit in the xRMSOS register changes xRMS by (52,867.147 − 52,866.837)/52,866.837 = 0.0006%. 147 . 867 , 52 1 2 1000 52,866,837 15 2 xRMS Neutral Current RMS, RMS of Sum of Instantaneous Currents The ADE9078 calculates the neutral current rms from a neutral current sensor input into the INP and INN pins, and stores the result in the NIRMS register. A NIRMSOS register allows offset calibration of this measurement. The scaling is the same as for the other xIRMS and xIRMSOS registers (see the Filter-Based Total RMS section for more information). The ADE9078 also calculates the rms of ISUM = IA + IB + IC ± IN and stores the result in ISUMRMS. An ISUMRMSOS register allows offset calibration of this measurement. The scaling is the same as for the other xIRMS and xIRMSOS registers (see the Filter-Based Total RMS section for more information). If a neutral current sensor is not used, write 0 to the ISUM_CFG bits in the CONFIG0 register, and then ISUMRMS approximates the neutral current from the sum of IA, IB, and IC. If the measured neutral current, NI_PCF, deviates from the sum of AI_PCF + BI_PCF + CI_PCF current channel waveforms, there may be a fault in the system. To determine how big the mismatch is between the measured neutral current and the measured Channel A, Channel B, and Channel C currents, select ISUM_CFG[1:0] to 01 or 10 based on the direction of the neutral current with respect to the other current channel waveforms. Table 14. ISUM Configuration Options ISUM_CFG[1:0] ISUM Calculation 00, 11 ISUM = AI_PCF + BI_PCF + CI_PCF 01 ISUM = AI_PCF + BI_PCF + CI_PCF + NI_PCF 10 ISUM = AI_PCF + BI_PCF + CI_PCF − NI_PCF ISUMRMS has the same scaling as xIRMS. Note that if AI_PCF, BI_PCF, and CI_PCF are all at full scale and in phase with each other, with ISUM_CFG = 00 or 11, ISUMRMS is 3 × 52,866,837d = 158,600,511d. If AI_PCF, BI_PCF, CI_PCF, and NI_PCF are all |
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