Pro workbench · working example available
PID Process Learning Simulator
Explore P, I and D action on a first-order simulated process with output limits, disturbances, filtered derivative and anti-windup.
Worked example
Begin with P-only control to observe steady-state offset, then add integral action. Apply a disturbance and compare recovery. The model uses a 0.2-second step, unit process gain, no transport delay and no measurement noise.
- Elapsed simulation seconds
- 0
- PV
- 0
- Output (%)
- 0
- SP
- 50
Learning exercise: remove steady-state offset
- Set Ki and Kd to zero, reset the model, re-enter Ki = 0, and run for 60 seconds. Record the offset.
- Set Ki to 0.2 and run until PV stays within one unit of SP.
- Apply a disturbance of −10. Observe recovery and output saturation.
Training only. Parallel PID form, derivative on PV with a 0.5 smoothing factor, conditional integral anti-windup, output 0–limit. First-order unit-gain plant, no delay or noise. These gains are not tuning recommendations for real equipment.
PID commissioning and oscillation guide →PID Process Learning Simulator
Run or step the fixed process example. Parameters and practice checkpoints require Pro.
Explore P, I and D action on a first-order simulated process with output limits, disturbances, filtered derivative and anti-windup.
- Adjust P, I and D
- Apply disturbances and output limits
- Save a local practice checkpoint
This workspace requires Pro Toolkit. The standard Toolkit tier does not unlock it.
Your plan applies across the site. Work saved on this device is not synchronized to other devices.
Reference: APMonitor process dynamics and PID equations. Review inputs and results against the exact device and site requirements.