ISOlinear Architecture. Silicon Labs CMOS Isolator. Figure 1. ISOlinear Design Architecture. Table 1. Circuit Performance mv 0.

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ISOLATING ANALOG SIGNALS USING THE Si86XX CMOS ISOLATOR FAMILY. Introduction AN559 The ISOlinear reference design (Si86ISOLIN-KIT) provides galvanic isolation for analog signals over a frequency range of dc to 500 khz. The circuits in this reference design can offer lower cost and better performance than analog isolation amplifiers and are useful for analog level translation, ground noise elimination, and safety isolation in applications, such as sensor interface circuits, motor/motion control systems, and isolated power systems. This application note describes three analog isolation circuits (see Table ) with different cost/performance points from 9 to 2 bits of resolution. Circuit operation is straightforward: incoming analog signals are digitized and transmitted across a digital isolation barrier, then restored to analog (see Figure ). Isolation is provided by Silicon Labs' proprietary Si86xx CMOS isolators available in isolation ratings of 2.5 kvacrms and 5 kvacrms. These isolators offer industry-leading timing, power, EMI performance, reliability, and provide substantial advantages over alternative isolation technologies, such as optocouplers and transformers. For more information, visit www.silabs.com/isolation. ISOlinear Architecture IN Modulator Silicon Labs CMOS Isolator Demodulator OUT Figure. ISOlinear Design Architecture Table. Circuit Performance Circuit # Resolution (Bits) PWM frequency (MHz) Bandwidth (khz) Output Ripple (mv) Noise Density Vrms ------------------ Hz 2.2 00 0 mv 0.58 2 0 2 500 40 mv.0 3 9 2.25 250 0 mv.43 Rev. 0.3 /2 Copyright 202 by Silicon Laboratories AN559

2. Design Considerations This reference design uses a self-oscillating PWM modulator and fourth order filter demodulator circuits. Circuit performance is determined by the configuration of these two blocks as detailed in the following sections. 2.. Noise and Ripple vs. Modulation Frequency As shown in Table and Figure 2, noise density is related to PWM modulation frequency where increasing modulator frequency results in higher noise density. The noise sources for all three circuits are a combination of thermal noise from both active and passive components and phase noise generated by the digital isolator. Noise Density vs. Modulation Frequency.80E-06.60E-06.40E-06.20E-06 V/.00E-06 8.00E-07 6.00E-07 4.00E-07 2.00E-07 0.00E+00 0.00 0.50.00.50 2.00 2.50 3.00 3.50 Modulation Frequency (MHz) Figure 2. Trend Line Characterization (Noise Density vs. Modulation Frequency) Therefore, it is important to optimize the PWM modulation frequency (F mod ) for the desired signal bandwidth. Too low an F mod minimizes noise density but can increase output ripple (depending on the output filter design), and too high an F mod reduces output ripple but increases noise density. Therefore, modulation frequency must be chosen for the compromise of noise density and output ripple. 2.2. Modulator Operation This circuit is shown in the Si86xx isolinear reference design documentation. There are two circuit variations: One uses an individual op-amp and comparator, and the other uses a quad op-amp package in which the comparator function is implemented with an op-amp. The self-oscillating modulator (see Figure 3) consists of an op-amp integrator and comparator with hysteresis. The comparator has an hysteresis voltage range determined by the values of R F and R IN. For a given comparator output state, the integrator output voltage ramps until the comparator's threshold is reached, at which time the comparator output changes state and the cycle repeats. The opamp used in this modulator design must have a slew rate >>2F mod and rail-to-rail outputs. The comparator must have a response time <0 ns. 2 Rev. 0.3

R FB C INT RF V IN R INT RIN V OUT V DD V DD V SS V DD R REF V REF RREF2 Figure 3. Self-Oscillating PWM Modulator 2.3. Determining Optimum Modulator Frequency Modulator frequency selection starts with generating a noise budget for the application, then using Figure 2 to find the corresponding modulation frequency. For example, a maximum noise budget of.2 µv/ Hz requires a modulation frequency of 2.0 MHz. A good theoretical estimate of the circuit total noise and achievable signal-tonoise (SNR) can be made using the following equations: Noise (rms) = Noise Density ----------- V Signal Bandwidth Hz Equation. Signal (rms) SNR (db) = 20 log 0 ------------------------------- Noise rms Equation 2. SNR (db) Resolution (bits) ------------------------ 6 Equation 3. For example, the circuit total noise for a design having an input signal amplitude of Vrms, a bandwidth of 00 khz, and a modulation frequency of 2 MHz would be as follows:.2 µvrms Noise density (for 2 MHz from Figure 2) = -------------------------- Hz Noise (rms) =.2 00e3 = 379.5 µvrms SNR(dB) = 20xlog --------------------------- = 68.4 0.0003795 68.4 Resolution = ---------- 6 =.4 bits Equation 4. Rev. 0.3 3

2.4. Setting Modulator Frequency The values of C INT, R INT, R IN, and R F determine the modulator oscillator oscillation frequency and amplitude and are calculated using Equation 5. Equation 5. From the above derivation, C INT, R INT, and R IN, R F together determine the modulation frequency and the modulator's output amplitude. For example, in Equation 5, if R F =.6k, R IN =k, R INT =k, and C INT =nf, F mod would be 400 khz. Table 2 shows measured typical SNR results for all three circuits as measured on the Silicon Labs ISOlinear reference design board (available at www.silabs.com/isolation). 2.5. Filter Optimization Modulation Frequency F mod -- = = = -------------------------------------- -------- T 4R INT C INT R IN R IN Table 2. Circuit SNR vs. Bandwidth SNR(dB) Signal Bandwidth Fsig 0 khz 50 khz 00 khz 250 khz 500 khz Circuit : 2 bits, Fmod =.2 MHz 8.8 74.8 7.8 67.8 64.8 Circuit 2: 0 bits, Fmod = 2.00 MHz 76 69 66 62 59.2 Circuit 3: 9 bits, Fmod = 2.25 MHz 67.8 60.8 57.8 53.8 50.8 Figure 4 shows the fourth-order output filter used in the Silicon Labs reference design board. It is based on Sallen- Key topology with Butterworth response and unity pass-band gain. Note that a lower-order filter can be used if the ripple requirements are relaxed. R F 4 th Order Filter V IN V OUT R IN CF R IN2 CF2 R R2 V DD C C2 Figure 4. 4th Order Output Filter A Butterworth filter is chosen for its maximally flat passband response and moderately steep roll-off above the cutoff frequency and is more than adequate for most linear isolator applications. While active filter design theory is beyond the scope of this application note, filter design can be simplified with the help of well-established look-up tables and by using a generic transfer function. For example, Table 3 shows the pole locations look-up table for Butterworth response for various orders. 4 Rev. 0.3

Table 3. Butterworth Filter Pole Locations Filter Order Stages Total Poles Pole Locations 2 2 p = 0.707 + j0.707 p2 = 0.707 j0.707 3 2 3 p = 0.5 + j0.8660 p2 = P0.5 j0.8660 p3 = + j0 4 2 4 p = 0.9239 + j0.3827 p2 = 0.9239 j0.3827 p3 = 0.3827 +j0.9239 p4 = 0.3827 j0.9239 The pole locations listed in Table 3 are the roots of the polynomial equations for corresponding filter order. The basic building block of all higher-order filters is the second-order filter shown in Figure 5. 2 nd Order Filter V IN R IN CF V OUT R V DD C Figure 5. Basic 2nd Order Filter The design process is as follows:. Convert the poles given in Table 3 into quadratic equation form as shown in Equation 6. s p s p2 = s 2 sp + p2 + pp2 Equation 6. Rev. 0.3 5

2. Equate the coefficients to the denominator of the second-order transfer function shown in Equation 7. (Note: use R = R IN = for design simplification). Vout -------------------- s Vin s = ---------------------------------------------------------------------------------------------------------- s 2 C F C R IN R + sc R IN + R + 3. Determine the values of C F and C. Assuming C F C R IN R = ; CR IN + R = p + p2 ; = pp2 Equation 7. 4. Proportionally scale the values of R IN, R, C F, and C to get standard component values. 5. Further scale down C F and C by a factor of 2 F 3dB to achieve the desired pass band frequency. 6. Verify the pass band frequency using Equation 8. F cutoff = ------------------------------------------------- 2 R IN R C F C Equation 8. 7. Repeat Steps to 6 for the next stage component values using the next set of poles (p3 and p4 in case of fourth-order filter) and cascade them (Figure 4). 8. For an odd order filter, follow the pole location of the even order filter and scale the component values. Example: use the above process to design a fourth-order Butterworth filter:. Substituting first stage filter pole locations p and p2 from the last row of Table 3 into Equation 6 and simplifying the equation: s 2 +.8478s + Equation 9. Repeating the previous step for the second stage filter pole locations p3 and p4 (Table 3, last row) into Equation 6 and simplifying the equation: s 2 + 0.7654s + Equation 0. 2. Equating coefficients of Equation 9 for the first stage to that of Equation 7's denominator: s2 +.8478s + = s 2 CC F R IN R + sc R IN + R + stage = C F CR IN R = ; C R IN + R =.8478 Equation. Repeating the previous step, this time for the second-stage filter: s2 + 0.7654s + = s 2 C F2 C2R IN2 R2 + sc2 R IN2 + R2 + stage2 = C F2 C2R IN2 R2 = ; C2 R IN2 + R2 = 0.7645 Equation 2. 6 Rev. 0.3

3. Determining the values for C F and C by setting R IN =R= and R IN2 =R2= : For first stage: For second stage: C F CR IN R= ; C R IN + R =.8478 Setting R IN = R =, we get C F C = ; 2C =.8478 Equation 3. C F2 C2R IN2 R2= ; C2 R IN2 + R2 =.8478 Setting R IN2 = R2 =, we get C F2 C2 = ; 2C2 =.8478 Equation 4. 4. Determining component values products calculated in Step 3:.8478 R IN = R = ; C = ----------------- = 0.924F ; C 2 F = ------- =.08F (stage ) C Equation 5. 0.7654 R IN2 R2 C2 ----------------- = = ; = = 0.383F ; C 2 F2 = ------- = 2.6F (stage 2) C2 Equation 6. 5. Scaling Rs up by k and Cs down by k results in the following component values: R IN = R = k ; C F =.08 mf ; C = 0.924 mf (stage ) Equation 7. R IN2 = R2 = k ; C F2 = 2.6 mf ; C2 = 0.383 mf (stage 2) Equation 8. 6. Setting the desired Fcutoff=00 khz, we further scale down capacitors by 2 *00k results in the following values: R IN = R = k ; C F =.7 nf ; C =.4 F (stage ) Equation 9. R IN2 = R2 = k ; C F2 = 4.5 nf ; C2 = 0.6 nf (stage 2) Equation 20. Rev. 0.3 7

7. Calculating the cutoff frequency using Equation 6: F cutoff -------------------------------------------------- = = ----------------------------------------------------------------------------------------- = 0 khz (stage ) 2 R IN RC F C 2 k k.7 nf.4 nf Equation 2. F cutoff2 -------------------------------------------------- = = ------------------------------------------------------------------------------------------------- = 00 khz (stage 2 ) 2 R IN2 R2C F2 C2 2 k k 4.5 nf 0.6 nf Equation 22. 8. Cascade the two stages for a 4th order filter with a pass band of ~00 khz. It is highly recommended that resistor values be limited to a range from to 5 k and that capacitor values be higher than 0 pf so that parasitic capacitive coupling does not influence the frequency response. For higher-order filter designs, repeat the above design process for each stage and cascade them. Note the opamps used in the filter must have a GBWP > 00 times F 3dB and a slew rate > 2 x x Vout x F 3dB. The opamp common mode input range must be higher than the filter input peak voltage. Other filter topologies can also be used (depending on the requirements of the end application) and are compared in Table 4. For example, selecting Chebyshev topology enables the use of a lower modulation frequency because of its steeper gain roll-off, which reduces output ripple and noise and improves SNR. Table 4. Filter Selection Filter Type Advantages Disadvantages Butterworth Maximally flat pass band response Moderate gain roll-off in transition band Slight overshoot to pulse response Bessel Minimal distortion and overshoot to pulse response Flat pass band response Slower gain roll-off in transition band Chebyshev Faster gain roll-off in transition band Exhibits ripple in pass band response Larger overshoot and distortion to pulse response 8 Rev. 0.3

3. Reference Design Kit The Silicon Labs ISOlinear reference design kit comes with an evaluation board, schematics, board layout, and billof-materials (BOM). This kit is available from Silicon Labs at www.silabs.com/isolation. Table 5. Ordering Guide Ordering Part Number Si86ISOLIN-KIT Description High-performance analog isolation reference design using the Si86xx digital isolators Rev. 0.3 9

4. Summary Isolinear reference design based on Si86xx isolators offers 5 kvrms analog isolation as an alternative to expensive analog isolation with the added benefits of user-flexibility, greater economy, and competitive performance. Proper selection of system parameters can further enhance performance and cost. 0 Rev. 0.3

DOCUMENT CHANGE LIST Revision 0. to Revision 0.2 Updated Figure 4 on page 4. Updated Figure 5 on page 5. Revision 0.2 to Revision 0.3 Updated "2.2. Modulator Operation" on page 2. Updated Equation. "2.4. Setting Modulator Frequency" on page 4. Updated Table 3 on page 5. Corrected 2nd pole location information for 3rd order filter. Corrected Equation 7 and Equation 8 on page 6. Corrected Equation 4 on page 7. Rev. 0.3

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