PI loop output is calculated as follows:
Output = KP x (ES + KI x ErrorSum) (if action = direct), or
Output = - (KP x (ES + KI x ErrorSum)) (if action = reverse)
where: ES = [PV - setpt]
ErrorSum = Sum of ES over time
The Integral Constant property specifies the integral gain (KI) in repeats per minute. This is sometimes called a reset rate. To understand repeats per minute, consider the scenario where
a loop is controlling at setpoint. If a certain setpoint error occurs, say from a sudden setpoint change, the loop output
immediately changes by a level corresponding to its proportional constant (acting on the P-term). During this hypothetical
example, assume the controlled process does not react from any loop output change, but stays at the original value (setpoint
error stays constant).
The loop’s integral term immediately begins increasing the output (or decreasing the output, depending on the direction of
setpoint error) at specific rate determined by the integral term. Over the period of one minute, the amount of output change
that would occur is defined by the Integral Constant (repeats per minute). A repeat equals the amount of output change initially generated by the P-term. For example, if this
loop was configured with an Integral Constant value of 2.0, and the original output change was +7%, over a period of one minute the integral term would linearly ramp up
the output value an additional +14%, or two repeats.
In a real-world PI loop, of course, the process variable does respond to an output change, and this continuously-linear ramping of the output would not occur. Instead, the process variable would start moving towards setpoint and the setpoint error would change (changing the proportional and integral terms, thus the loop output).
The integral term of a PI loop can cause an “overshoot” of setpoint, meaning that the increased loop output may result in a new setpoint error in the opposite direction. In some cases, it is possible for this overshoot to continuously repeat (oscillation), which is typically undesired. However, a small amount of overshoot for an initial correction is not uncommon.
To minimize overshoot, the PI loop’s integralConstant is typically kept small, and sized appropriately for the assigned proportionalConstant.
Integral windup is prevented by limiting the ErrorSum value based on the LoopPoint’s Maximum Output and Minimum Output values.
If using PI loop control, follow these guidelines:
Maximum Output and Minimum Output properties for the loop output, noting that the maximum value must be greater than the minimum.Proportional Constant (KP) property value starting with this formula:[output range (minOutput - maxOutput)] / throttling range
where throttling range is the corresponding result in the process variable.
For example, for a temperature loop where a 0-to-100% loop output results in a 20 degree swing in the process variable, a starting point KP is:
[(100% - 0%)/ 20deg.] = [(100% / 20deg.] = 5
When tuning a PI loop, you typically reduce the Proportional lConstant value, because the integral effect on the output will correct setpoint error over time.
Integral Constant) to a nominal value, typically less than one (1.0). A value of 0.5 is a good starting point for many loops. Decreasing the
integral constant makes the loop respond more slowly.Derivative Constant property at 0.0 (the default).