Chapters

14 Bridge Linearity and Instrumentation

sensors
sensor
circuits
bridge

14.1 Start With the Measurement Story

Make a Tiny Bridge Change Visible

Picture a strain gauge that changes slightly while its display stays at zero. An analog-to-digital converter is the circuit that turns a measured voltage into a digital number. It is also called an ADC.

Name the bridge supply, resting output, expected change, amplifier gain, converter range, and noise limit. Test zero load, a known load, reversed wiring, and a warm cable.

Keep raw and amplified voltages, digital counts, settings, time, and reference load. This proves one measurement chain and range, not every installation; the deeper sections cover bridge balance, linearity, gain, common-mode limits, and calibration.

A bridge circuit can reveal a tiny physical change, but only if the weak differential signal survives imbalance, noise, and loading. Start by following the signal from bridge output through instrumentation gain to an ADC-ready value.

14.2 Learning Objectives

After this page, you should be able to:

  • Explain why bridge circuits cancel large sensor baselines before amplification.
  • Estimate quarter-bridge output voltage from gauge factor, strain, and excitation voltage.
  • Choose instrumentation-amplifier gain from the worst-case differential signal and ADC range.
  • Use common-mode rejection and dummy gauges to suppress cable noise and thermal drift.

14.3 After Signal Conditioning

Signal Conditioning for Sensors introduces the full chain from physical sensor output to ADC-ready voltage. This page narrows in on bridge sensors, where the useful signal is often a few millivolts riding on a much larger baseline.

Use it when a strain gauge, load cell, pressure transducer, torque sensor, or other bridge sensor needs a readout that will not clip, waste ADC range, or treat temperature and cable noise as real motion.

The mathematical gist. Gauge factor splits into geometry and material response: GF=(1+2ν)+(dρ/ρ)/εGF=(1+2\nu)+(d\rho/\rho)/\varepsilon. With the chapter’s GF=2.0GF=2.0 and ν=0.30\nu=0.30, geometry contributes 1.60 (80.0%) and changing resistivity contributes 0.40 (20.0%). At 1,000 microstrain, ΔR/R=0.00200\Delta R/R=0.00200 and the chapter’s 5.0 V quarter bridge produces 2.50 mV.

Math Bridge · guided foundationsWhere does a metal-foil gauge factor of 2.0 come from?Let Phoebe separate length, thinning, and piezoresistivity before rebuilding the bridge output.

14.4 Tiny Signals on Large Baselines

Some of the most useful sensors move only a whisker. A metal-foil strain gauge changes its resistance by roughly one part in a thousand at full mechanical load. If you drop that gauge into a plain voltage divider, the tiny wanted change rides on top of a large, steady baseline voltage — like trying to see a ripple on the surface of a full bathtub. The ADC spends almost all its range on the baseline and almost none on the signal.

Before acting on tiny signals on large baselines, inspect Figure because it condenses the evidence path: the long serpentine foil track turns a minute stretch of the bonded surface into a measurable resistance change; a bridge circuit is needed because that change is tiny beside the gauge’s baseline resistance. Photo: Cristian V., CC BY 4.0.

A bonded metal-foil strain gauge with a fine serpentine sensing grid and soldered leads
The long serpentine foil track turns a minute stretch of the bonded surface into a measurable resistance change; a bridge circuit is needed because that change is tiny beside the gauge's baseline resistance. Photo: Cristian V., CC BY 4.0

Read Figure from the soldered leads toward the central serpentine foil. The long folded track is the active element: bonding it to the test surface makes strain lengthen or compress that path, producing a very small resistance change. That physical scale explains why the next stage is a bridge rather than a direct ADC connection—the circuit must reject the large resting resistance and preserve its small change.

Two classic building blocks solve this together. The Wheatstone bridge subtracts a matched reference so that, at rest, the output is zero and only the change appears as a small differential voltage. The instrumentation amplifier then amplifies that small differential voltage by a large, precise factor while rejecting interference that is common to both wires.

Intuition: the bridge is two voltage dividers side by side. Read the difference between their midpoints. When the arms are balanced the difference is zero, so you have thrown away the baseline and kept only the signal — before you amplify.

For a concrete feel, compare two ways to read a 350 Ω strain gauge excited from 5 V. In a single divider with another 350 Ω resistor, the midpoint sits near 2.500 V. A 0.1% resistance change moves that midpoint by only about 1.25 mV, so a 12-bit, 3.3 V ADC sees roughly 1.6 counts of movement on top of a 3100-count baseline. The bridge produces the same millivolt-scale change as a signed differential output around zero, which an instrumentation amplifier can safely multiply before the ADC. With gain 200, that 1.25 mV becomes 250 mV, or about 310 ADC counts. The measurement did not become more physically sensitive; the circuit simply stopped wasting ADC range on the baseline.

The bridge removes much of the baseline, but its divider law is still curved. Figure 14.1 shows where matching the reference arm makes a local linear approximation useful and where that approximation stops being safe.

A resistive half bridge pairs its divider formula with a transfer curve. Response is linear only over a limited sensor-resistance range and saturates at high resistance.
Figure 14.1: Half-bridge circuit with a resistive sensor and a transfer-characteristic curve showing the most linear measurement region near matched bridge resistance.

On the Half Bridge Circuit in Figure 14.1, fixed R and variable Rsense set Vout according to the displayed Vout = Vin × Rs/(Rs + R) relation. The adjacent Transfer Characteristic marks a limited LINEAR REGION around the matched operating point; beyond it the curve flattens, and the note High Rs saturates shows why equal resistance changes no longer produce equal voltage changes. That visual is the physical counterpart of the Taylor expansion below: the first derivative supplies useful sensitivity near R0, while the quadratic and higher terms become the non-linearity that must be bounded or calibrated.

Linearize around the operating point

A simple half-bridge divider is not globally linear. Its midpoint voltage follows:

Vout = Vin * Rs / (Rs + R)
Rs = R0 + DeltaR

Near the chosen operating resistance R0, the first Taylor term is the sensitivity you want; the terms after it are the non-linear error you must bound:

V(Rs) ~= V(R0)
        + DeltaR * [dV/dRs at R0]
+ (DeltaR^2 / 2) * [d2V/dRs2 at R0] + ...

Datasheets often report nonlinearity as a percentage of full-scale output: the vertical error between the actual curve and the selected straight-line fit over the declared span. As |DeltaR| grows relative to R + R0, the quadratic and higher-order terms stop being negligible. The remedy is to keep the useful range near the matched operating point, use a bridge topology that cancels the baseline, or calibrate the curve instead of trusting one slope across the whole span.

14.4.1 Overview Knowledge Check

14.5 Quarter-Bridge Amplifier Sizing

With one active gauge (a quarter-bridge) and the other three arms fixed at the nominal resistance, the bridge output for a small change is approximately:

Before acting on quarter-bridge amplifier sizing, inspect Figure because it condenses the evidence path: an instrumentation amplifier integrates the matched high-gain differential stages needed to lift a bridge’s millivolt output while rejecting voltage common to both inputs; the AD520J shown here is an early single-chip example of that component class. Photo: Mister rf, CC BY-SA 4.0.

A gold metal-can AD520J instrumentation amplifier integrated circuit with two rows of pins
An instrumentation amplifier integrates the matched high-gain differential stages needed to lift a bridge's millivolt output while rejecting voltage common to both inputs; the AD520J shown here is an early single-chip example of that component class. Photo: Mister rf, CC BY-SA 4.0

Read Figure from the metal package to its two rows of pins. The photograph establishes the component class, but it does not supply the gain, input range, supply limits, or common-mode limits needed for a design; those still come from the selected part’s datasheet. That distinction connects the physical amplifier to the calculation below: choose gain from the bridge’s worst-case differential signal and the ADC headroom, not from package appearance.

Vout / Vex ≈ (1/4) × (ΔR / R)

and for a strain gauge:   ΔR / R = GF × ε
  GF = gauge factor (≈ 2.0 for metal foil)
ε  = strain (dimensionless, often quoted in microstrain)

Worked example: 1000 microstrain on a foil gauge

Given: strain ε = 1000 µε = 0.001
       gauge factor GF = 2.0
       excitation Vex = 5.0 V

Fractional change:  ΔR/R = 2.0 × 0.001 = 0.002 (0.2%)
Bridge output:      Vout = 5.0 × 0.002 / 4 = 2.5 mV

2.5 mV is far too small for a 3.3 V ADC to resolve well.
Amplify with an instrumentation amp at gain 100:
Vout' = 2.5 mV × 100 = 250 mV   (now comfortably readable)

A real part makes the gain concrete. The AD620 instrumentation amplifier sets its gain with one external resistor: G = 1 + 49.4 kΩ / RG. For a gain of 100 you solve RG = 49.4 kΩ / 99 ≈ 499 Ω, which is a standard value the datasheet itself lists.

Ratiometric bonus: the bridge output is proportional to the excitation Vex. If the ADC reference is derived from the same Vex, drift in the excitation cancels in the reading — the same ratiometric idea that helps a plain divider, now applied to the bridge.

Keep the amplifier range honest before choosing the gain resistor. If the same load cell can see 1500 microstrain in an overload test, the raw output is 5.0 V × (2.0 × 0.0015) / 4 = 3.75 mV. Gain 100 produces 375 mV, leaving plenty of headroom. Gain 1000 produces 3.75 V, which clips a 3.3 V ADC and hides the overload exactly when you need evidence. A practical design therefore picks a gain from the worst-case signal, not just the nominal signal, then uses calibration coefficients to convert ADC counts back to force or pressure.

14.5.1 Practitioner Knowledge Check

14.6 CMRR and Thermal Cancellation

The bridge-plus-instrumentation-amp pairing is not just about gain. It is about rejecting everything you did not mean to measure.

Differential vs common-mode

The wanted signal is the difference between the two bridge midpoints. Interference — supply ripple, mains hum picked up on the cable — tends to appear equally on both, as a common-mode voltage.

The instrumentation amp's job

It amplifies the difference and rejects the common-mode part. A good in-amp rejects common-mode by a factor of 100,000 or more (over 100 dB), so shared noise is suppressed while the differential signal is amplified.

High input impedance

Its inputs draw almost no current, so the amplifier does not load and unbalance the bridge — a problem a simple op-amp stage with modest input resistance would cause.

Thermal cancellation

Temperature also changes gauge resistance. Placing a dummy, unstrained gauge in an adjacent bridge arm makes that thermal shift appear on both arms, so it cancels in the difference while real strain does not.

A quick noise budget shows why common-mode rejection matters. Suppose the real bridge signal is 2 mV, but a nearby motor couples 100 mV of 50 Hz noise equally onto both sensor wires. With a plain single-ended amplifier at gain 100, the noise would try to become 10 V and would slam the output into a rail. With an instrumentation amplifier whose common-mode rejection ratio is 100 dB, the common-mode component is reduced by a factor of 100,000 before the differential gain matters: 100 mV becomes about 1 µV equivalent input. After gain 100, that is only about 0.1 mV at the output, while the wanted 2 mV differential signal becomes 200 mV.

Thermal effects need the same differential thinking. A foil gauge might change resistance from both strain and temperature. If the active gauge rises by 0.20% from strain and both the active and dummy gauges rise by 0.05% from temperature, the bridge subtracts the shared thermal term and leaves the strain term as the dominant differential change. If the dummy gauge is mounted far from the active gauge, that assumption fails; the bridge then reports temperature gradients as fake mechanical load.

This is why load cells, pressure transducers, and torque sensors almost universally use a bridge feeding an instrumentation amplifier: the topology cancels the baseline, cancels temperature drift through matched arms, rejects common-mode interference, and keeps high source impedance from being disturbed, leaving a clean amplified copy of the mechanical signal.

14.6.1 Under-the-Hood Knowledge Check

14.7 Release Checklist

Before relying on a bridge-sensor readout, confirm these points:

Start by the bridge excitation voltage is within the sensor manufacturer’s self-heating and accuracy limits. Then the expected maximum strain, load, or pressure is converted into a worst-case millivolt bridge output. Next instrumentation-amplifier gain leaves ADC headroom for overloads, offset, startup transients, and noise. After that the ADC reference and bridge excitation are intentionally ratiometric or independently stabilized. Continue by cable shielding, twisted pairs, and amplifier layout preserve the common-mode rejection assumed in the calculation. Finally dummy or matched bridge arms see the same temperature as the active sensing element when thermal cancellation is expected.

14.8 See Also

Start by Signal Conditioning for Sensors for the full amplification, filtering, and ADC chain. Then Resistive Dividers and ADC Loading for single-ended resistive sensors before bridge circuits are needed. Next Sensor Data Processing for filtering and calibration after the bridge signal reaches firmware. Finally Accuracy, Precision, Drift, and Hysteresis for reporting remaining uncertainty after conditioning.

14.9 Next

Return to Signal Conditioning for Sensors once the bridge gain and noise budget are clear, then continue to Sensor Data Processing for digital filtering and calibration.