Main

## Main.OptionFstatus History

June 08, 2017, at 10:43 PM by 10.5.113.159 -
Changed line 21 from:

to:

June 08, 2017, at 10:42 PM by 10.5.113.159 -
Changed line 21 from:

to:

June 08, 2017, at 10:33 PM by 10.5.113.159 -
Changed line 5 from:
to:
June 05, 2017, at 10:23 PM by 10.5.113.159 -
Changed lines 19-21 from:

The actual process value steps from 0.85 to 1.0 and the measurement is the true value with random white noise. The Filtered trends show the value of MEAS used in the model simulation with varying levels of FSTATUS.

to:

The actual process value steps from 0.85 to 1.0 and the measurement is the true value with random white noise. The Filtered trends show the value of MEAS used in the model simulation with varying levels of FSTATUS. Lower values of FSTATUS (such as 0.1) require more cycles to update to true measured values but are also less sensitive to noise (random fluctuations). A higher value of FSTATUS (such as 0.7) incorporates more of the measurement information but does not filter out the random fluctuations as well. FSTATUS should be chosen as a balance between these trade-offs.

June 05, 2017, at 10:20 PM by 10.5.113.159 -
Changed line 17 from:
to:
June 05, 2017, at 10:20 PM by 10.5.113.159 -
Changed lines 11-21 from:

Determines how much of the measurement (MEAS) to use in updating the values in the model. A feedback status of 0 indicates that the measurement should not be used either in estimation or in updating a parameter in the model. A feedback status of 1 uses all of the measurement. A feedback status in between updates the model OR parameter value (x) according to the formula: x = LSTVAL * (1-FSTATUS) + MEAS * FSTATUS.

to:

Determines how much of the measurement (MEAS) to use in updating the values in the model. A feedback status of 0 indicates that the measurement should not be used either in estimation or in updating a parameter in the model. A feedback status of 1 uses all of the measurement. A feedback status in between 0 and 1 updates MEAS with a fractional contribution from LSTVAL and the new measurement.

 MEAS = LSTVAL * (1-FSTATUS) + MEAS * FSTATUS


It may be desirable to set FSTATUS between 0.0 and 1.0 to filter out noise from measurements while maintaining a sufficiently fast response time to actual shifts. Below is an example with FSTATUS at 0.1, 0.3, and 0.7.

The actual process value steps from 0.85 to 1.0 and the measurement is the true value with random white noise. The Filtered trends show the value of MEAS used in the model simulation with varying levels of FSTATUS.

June 02, 2017, at 06:15 AM by 45.56.3.173 -

June 01, 2017, at 06:23 AM by 45.56.3.173 -
 Type: Floating Point, Input