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Wireless Control Foundation
Continuous and Discrete Control for the Process Industry
Model Based Wireless Control – Kalman Filter
This workshop provides several exercises that can be used to further explore model based control using a wireless measurement. The module used in this workshop allows the control performance of a PID with a wired input to be compared to a Kalman Filter observer with a PID using a wireless input.
Step 1: Open the module containing the Kalman Filter with a wireless measurement vs PID with a wired measurement.
Step 2: Initialize the Performance Index (IAE) and then change the SP parameter of both control loops by 10%. Observe the control response using a plot of the setpoint, control measurements and output.
Step 3: Note the IAE and the number of communications for the wireless and wired control. You should see a significant difference in the number of communications for wired vs wireless control that were required to respond to the setpoint change.
Step 4: Initialize the Performance Index and change the Disturbance input from zero to 10. Observe the response of the PID with wired measurement and the Kalman Filter with PID and wireless measurement to this unmeasured process disturbance.
Step 5: Note the IAE and the number of communications for the wireless and wired control.
A simulation of two identical processes is used to compare control performance of a PID using a Kalman filter with a wireless measurement to PID using a wired measurement.

This video shows the solution to the model based wireless control – Kalman filter workshop contained in the book Wireless Control Foundation.