Runnable simulator field guide
PID temperature-control scenario: test checklist
Direct answer
The learner can establish a baseline, calculate response evidence, change one tuning dimension and distinguish controller, actuator, sensor and process faults.
Written for pLC and instrumentation learners correlating setpoint, temperature measurement, controller output, heater response, disturbance and limits.

Scenario setup
Process variable, setpoint, sensor range, sample time, controller action, P I and D terms, output limits, heater, thermal lag, disturbance and metrics.
I/O and state map
Temperature error through PID terms and bounded output to heater energy, process dynamics, measured response and updated error.
Normal run
Small setpoint response recorded for rise time, overshoot, settling, steady error and output activity.
Boundary run
Wrong action, saturation, integral windup, noisy derivative, sensor lag, heater failure, ambient disturbance and restart.
Injected fault
A setpoint, measurement, scaling, controller, limit, actuator, process-model, tuning or metric defect.
Target check
The real loop commissioned conservatively under approved procedures with representative trend evidence.
How do I tune a temperature PID loop?
Verify measurement, action and output first, establish a conservative baseline, change one tuning dimension, compare response metrics and respect thermal limits.
Why does a PID temperature loop overshoot?
Excess integral action, aggressive proportional gain, process dead time, output saturation, sensor placement and stored heat can all contribute.