Remeber:
  • The Calendar Van Dusen equation simplifies the relationship between the resistance of an RTD to its temperature:Where:
    • is the temperature expressed in Celsius [Β°C], and it need to be Β°C
    • is the resistance of the RTD at temperature ,
    • ​ is the resistance of the RTD at the reference temperature (usually Β°C).
    • , , and are coefficients that depend on the specific RTD.
  • Also in the previus formula we have considered Β°C, while if Β°C we need to discard the coefficient:
  • For the PT100 Sensor we have seen that the usual values are:
    • NOTE: We can also see the coefficent temperature as its sensitivity, but if we want a more accurate sensitivity (for example if we want a more precise accuracy at higher temperature ) we might want to use the following formula:
  • For RTD sensors also we have seen the TCR (Temperature Coefficient of Resistance), we can define as:Where:
    • is the resistance the sensor assumes at
    • is the resistance the sensor assumes at
  • We have also seen the maximum error for using the Calendar Van Dusen Equation.
    Here’s how to find it:
  1. Define the formula : .
    Which is the calander van dausen equation, so again:(We didn’t write the coefficient since it is really small, so we can ommit it for simplicity)
  2. Define the inverse formula .
  3. Find the Maximum Error in the Worst Case Possible:Note that:
  • is the maximum measurement error and depends on the circuit used, not just on the sensor, so we forget about it.
  • are the maxium possible variations, since we took the worst case possible.
  1. Finally we perform the derivatives and find the formula for the maximum error.
  2. To have a proper value we need to know the values and , which are the relative variations.
  • For the PT100 sensor we know that: , or: .
  • Also for Class A Devices the Maximum Error is .
    So it is important to note that even if a little, it depends on the temperature.

Memory Card


Index


Defintion of the Calendar Van Dusen Relationship

- There is an error:


Linearization


Errors and Accuracy of RTDs