Guide

PID Tuning Guide

PID tuning is the art of finding the right controller settings for your process. Learn practical tuning methods, common pitfalls, and how to recognise good and bad tuning.

7 min readUpdated July 2026

What is PID Tuning?

PID tuning is the process of adjusting the Proportional, Integral, and Derivative settings of a controller to achieve the desired response. The goal is a loop that responds quickly to disturbances, settles without excessive oscillation, and maintains the setpoint with minimal error.

Every process has different dynamics. A flow loop responds in seconds; a temperature loop may take minutes. The tuning must match the process. There is no one-size-fits-all set of PID parameters.

Understanding the Parameters

  • Proportional band (Pb) or gain (Kp): Determines how aggressively the controller reacts to error. Narrower band (higher gain) = more aggressive. Too narrow = oscillation. Too wide = sluggish response.
  • Integral time (Ti): How quickly the integral action eliminates offset. Shorter Ti = faster integral = quicker return to setpoint but more risk of oscillation. Longer Ti = slower but more stable.
  • Derivative time (Td): How much the controller anticipates future error. Longer Td = more damping of overshoot. Too long = amplification of noise. Usually set to zero for flow and pressure loops.

Practical Tuning Method

  1. Put the controller in manual mode. Verify the process is stable.
  2. Set integral and derivative to zero (or minimum). Set proportional to a conservative (wide band / low gain) value.
  3. Switch to auto. Introduce a small setpoint change (5 to 10% of range).
  4. Observe the response. If the response is too slow, reduce the proportional band (increase gain) by 50%.
  5. Repeat step 4 until the response is reasonably fast but with slight oscillation.
  6. Now add integral action. Start with a long integral time (slow). Gradually reduce until the steady-state offset is eliminated without introducing oscillation.
  7. If the process is slow (temperature), add a small amount of derivative to reduce overshoot. Start with Td = 0.1 x Ti.
  8. Fine-tune by making small adjustments to all three parameters and observing the response.

Tuning by Process Type

Process TypeCharacteristicsTypical Settings
FlowFast (seconds), noisyLow gain, short integral, no derivative
Pressure (liquid)Fast (seconds)Medium gain, short integral, no derivative
Pressure (gas/vapour)Medium (10 to 60 sec)Medium gain, medium integral, no derivative
LevelIntegrating processLow gain, long or no integral, no derivative
TemperatureSlow (minutes)Medium-high gain, medium integral, small derivative

Don't tune around a mechanical problem

If a loop has started oscillating or responding poorly, check the mechanical components before retuning. A sticking control valve, a clogged impulse line, a failed positioner, or a worn bearing can all cause symptoms that look like a tuning problem. Retuning around a mechanical fault will make the problem worse and mask the real issue.

Tip: Document the final tuning parameters for every loop. When someone retunes the loop (and they will, eventually), the original settings provide a baseline to return to. PlantLogica can store these parameters with the asset record and track changes over time.

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