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Temperature pSensors & Measurement
E80 Spring 2014E80 Spring 2014
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Contents
Why measure temperature?Why measure temperature?Characteristics of interestTypes of temperature sensorsTypes of temperature sensors– 1. Thermistor– 2. RTD Sensor– 3. Thermocouple– 4. Integrated Silicon Linear Sensor
Sensor CalibrationSe so Ca b at oSignal Conditioning Circuits (throughout)
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Why Measure Temperature?y p
Temperature measurements are one of the mostTemperature measurements are one of the most common measurements...
Temperature corrections for other sensors – e.g., strain, pressure, force, flow, level, and position many
times require temperature monitoring in order to insuretimes require temperature monitoring in order to insure accuracy.
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Important Properties?p p
SensitivitySensitivityTemperature rangeAccuracyAccuracyRepeatabilityRelationship between measured quantity and p q ytemperatureLinearityCCalibrationResponse time
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Types of Temperature Sensors?Types of Temperature Sensors?
Covered Not Covered5 H t Wi A t1. Thermistor
Ceramic-based: oxides of manganese, cobalt , nickel
5. Hot Wire Anemometer6. Non-Contact IR Single Sensor7. IR Camera
and copper2. Resistive Temperature Device -
RTDMetal-based : platinum, nickel or
copper3. Thermocouple
junction of two different metals4. Integrated Silicon Linear
SensorSi PN junction of a diode or
bipolar transistor
5
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>$10
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Part I Thermistor
High sensitivityHigh sensitivityInexpensiveReasonably accurateReasonably accurateLead resistance ignoredGlass bead, disk or chip thermistorpTypically Negative Temperature Coefficient (NTC),– PTC also possible
nonlinear relationship between R and T
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Thermistor resistance vstemperature temperature
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Simple Exponential Thermistor ModelModel
RT = R0 x exp[ β(1/T -1/T0)]
– RT is the thermistor resistance (Ω).
– T is the thermistor temperature (K)
– Manufacturers will often give you R0, T0 and an average 0 0value for β
• β is a curve fitting parameter and itself isβ is a curve fitting parameter and itself is temperature dependent.
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Simple Exponential Thermistor ModelModel
Usually T is room temp 25oC 298oKUsually T0 is room temp 25oC = 298oK– So R0 = R25
RT = R25 x exp[β(1/T – 1/298)]
– where β ≈ ln (R85/R25) /(1/358-1/298)
Not very accurate but easy to useNot very accurate but easy to use
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Better Thermistor model
Resistance vs temperature is non linear but can beResistance vs temperature is non-linear but can be well characterised by a 3rd order polynomial
ln RT = A + B / T +C / T2 + D / T3
h A B C D th h t i ti f thwhere A,B,C,D are the characteristics of the material used.
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Inverting the equationg q
The four term Steinhart-Hart equation
T = [A1 +B1 ln(RT/R0)+C1 ln2(RT/R0)+D1ln3(RT/R0)]-1[ 1 1 ( T 0) 1 ( T 0) 1 ( T 0)]
Also note: E i i ll d i d l i l fit• Empirically derived polynomial fit
• A, B, C & D are not the same as A1, B1 , C1 & D1
• Manufacturers should give you both for when R = R• Manufacturers should give you both for when R0 = R25
• C1 is very small and sometime ignored (the three term SH eqn)
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http://www.eng.hmc.edu/NewE80/PDFs/VIshayThermDataSheet.pdf
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Thermistor Calibration
3 t St i h t H t ti3-term Steinhart-Hart equation
T = [A1 +B1 ln(RT/R0)+D1ln3(RT/R0)]-1
How do we find A1, B1 and D1?,Minimum number of data points?Linear regression/Least Squares Fit (Lecture 2)Linear regression/Least Squares Fit (Lecture 2)
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Thermistor Problems: Self-heatingg
You need to pass a current through to measure theYou need to pass a current through to measure the voltage and calculate resistance.
Power is consumed by the thermistor and manifests itself as heat inside the device
2– P = I2 RT
– You need to know how much the temp increases due to self heating by P so you need to be given θ = the
f ftemperature rise for every watt of heat generated.
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Heat flow
Very similar to Ohms law The temperatureVery similar to Ohms law. The temperature difference (increase or decrease) is related to the power dissipated as heat and the thermal resistance.
∆ C = P x θ
– P in Watts– θ in oC /W
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Self Heating Calculation g
∆oC P x θ (I2 R ) θ∆oC = P x θ = (I2 RT) θ Device to ambient
Example. – I = 5mA – RT = 4kΩ– θDevice to ambient = 15 oC /W
∆oC∆oC =
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Self Heating Calculation g
∆oC P x θ (I2 R ) θ∆oC = P x θ = (I2 RT) θ Device to ambient
Example. – I = 5mA – RT = 4kΩ– θDevice to ambient = 15 oC /W
∆oC (0 005)2 X 4000 X 15 1 5 C∆oC = (0.005)2 X 4000 X 15 = 1.5 C
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Linearization Techniquesq
Current through Thermistor is dominated by 10k ΩCurrent through Thermistor is dominated by 10k Ωresistor.
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Linearization of a 1O k-Ohm Thermistor
This plot Ti = 50 0C, Ri = 275 Ω
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Linearization techniquesq
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Part II RTD
A t & St blAccurate & StableReasonably wide temperature rangeM E iMore ExpensivePositive temperature constantRequires constant currant excitationSmaller resistance range– Self heating is a concern– Lead wire resistance is a concern
More complicatedsignal conditioning
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pRTD, cRTD and nRTDp ,
The most common is one made using platinum soThe most common is one made using platinum so we use the acronym pRTD
CCopper and nickel as also used but not as stable
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Linearity: The reason RTDs are so populary p p
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RTD are almost linear
Resistance increases with temperature (+ slope)Resistance increases with temperature (+ slope)
RT = R0(1+ α)(T –T0)RT R0(1+ α)(T T0)
Recognized standards for industrial platinum RTDs g pare– IEC 6075 and ASTM E-1137 α = 0.00385 Ω/Ω/°C
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Measuring the resistanceneeds a constant current sourceneeds a constant current source
Read AN 687 for more details (e.g. current excitation circuit): http://ww1.microchip.com/downloads/en/AppNotes/00687c.pdfhttp://www control com/thread/1236021381http://www.control.com/thread/1236021381on 3-wire RTD
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With long wires precision is a problemproblem
Two wire circuitsTwo wire circuits,
Three wire circuits andThree wire circuits and
Four wire circuits.
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Two wire: lead resistances are a problemp
Power supply connected herePower supply connected here
No current flows in here
The IDAC block is a constant current sink
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Three wire with two current sinks
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Four wire with one current sink.
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4 wire with precision current sourcep
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Mathematical Modelling the RTDg
The Callendar Van Dusen equationThe Callendar-Van Dusen equation
RT = R0 (1 + A T + B T2 + C T3(T-100) for T < 0 oCRT R0 (1 + A T + B T + C T (T 100) for T < 0 C= R0 (1+ A T + B T2) for T > 0 oC– where R0 is the resistance at T0 = 0 oC and
For platinumC 1A = 3.9083 x e-3 oC-1
B = -5.775 x e-7 oC-2
C = 4 183 x e 12 oC-4C = -4.183 x e-12 oC 4
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Experimentallyp y
Derive temperature (+/ ) from the measuredDerive temperature (+/-) from the measured resistance.Easiest way is to construct a Look-Up table inside y pLabView or your uPPrecision, accuracy, errors and uncertainties need t b id dto be considered.
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Experimental uncertaintiesp
For real precision each sensor needs to beFor real precision, each sensor needs to be calibrated at more than one temperature and any modelling parameters refined by regression using a least mean squares algorithm. – LabView, MATLAB and Excel have these functions
The 0oC ice bath and the ~100 oC boiling deThe 0oC ice bath and the ~100 oC boiling de-ionised water (at sea level) are the two most convenient standard temperatures.
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Part III Thermocouplesp
High temperature rangeHigh temperature range Inexpensive Withstand tough environmentsWithstand tough environments Multiple types with different temperature rangesRequires a reference temperature junction q p jFast response Output signal is usually smallAmplification, noise filtration and signal processing required
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Seebeck Effect
Type K thermocouple
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Thermocouples are very non-linearp y
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Mathematical Model
To cover all types of thermocouples we need a 6 10thTo cover all types of thermocouples, we need a 6 - 10th
order polynomial to describe the relationship between the voltage and the temperature difference between the two junctionstwo junctions
Either T + V + V2 +++++ V10T = a0 +a1 x V + a2 x V2 +++++ a10 V10
Or
V = b0 +b1 x T + b2 x T2 +++++ b10 T10
+ αo exp(α1(T-126 9686)2) for T+ αo exp(α1(T 126.9686) ) for T >0oC
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10th order polynomial fit:Find T from measured VoltageFind T from measured Voltage
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What happens when we connect a meter?meter?
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What happens when we connect a meter?meter?
Cu
Cu
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Cold Junction Compensationp
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Can we read the voltage directly from our DAQ or meter?from our DAQ or meter?
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Instrumentation Amplifierp
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One more thing…g
Low voltage signalLow voltage signal…Long leads…
What problems could arise?
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Thermocouple i h i d fil iwith compensation and filtering
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Look-up table is easier than using a polynomialpolynomial
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What does 8 bit accuracy mean?y
Eight bits 28 1 levels 255 levelsEight bits = 28-1 levels = 255 levelsAssume supply voltage between 0 and 5 voltsMinimum V step between each level ≈ 20mVMinimum V step between each level ≈ 20mVTemp range say 0 to 400 oCMinimum temperature step ≈ 1.6 oCp p
– This determines the quantisation error regardless the accuracy of the sensoraccuracy of the sensor
i.e., Temp = T +/- 0.8oC
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Part IV Silicon Detectors
Integrated formIntegrated form-40°C to +150°CLimited accuracy +/- 2 degreeLimited accuracy +/ 2 degreeLinear response ( no calibration is required)Direct interface with ADC
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References
Previous years’ E80Previous years E80WikipediaMicrochip Application Notes AN679, AN684, AN685, AN687Texas Instruments SBAA180Omega Engineering www.omega.com (sensor specs, application guides, selection guides, costs)Baker, Bonnie, “Designing with temperature sensors, part one: sensor types,” EDN, Sept 22, 2011, pg 22.Baker, Bonnie, “Designing with temperature sensors, part , , g g p , ptwo: thermistors,” EDN, Oct 20, 2011, pg 24.Baker, Bonnie, “Designing with temperature sensors, part three: RTDs,” EDN, Nov 17, 2011, pg 24., , , , pgBaker, Bonnie, “Designing with temperature sensors, part four: thermocouples,” EDN, Dec 15, 2011, pg 24.
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Baker Bonnie “Designing with temperature sensors partBaker, Bonnie, Designing with temperature sensors, part one: sensor types,” EDN, Sept 22, 2011, pg 22.Baker, Bonnie, “Designing with temperature sensors, part two: thermistors ” EDN Oct 20 2011 pg 24two: thermistors, EDN, Oct 20, 2011, pg 24.Baker, Bonnie, “Designing with temperature sensors, part three: RTDs,” EDN, Nov 17, 2011, pg 24.B k B i “D i i ith t t tBaker, Bonnie, “Designing with temperature sensors, part four: thermocouples,” EDN, Dec 15, 2011, pg 24.