Manual tuning from trends

How to adjust Kc, Ti and Td on a running plant from the trend: what each parameter does, how to tell too much P from too much I by the oscillation period, a safe order of steps.

In short. Change one parameter at a time, by a factor of 1.5–2, and watch the response to a small set-point step. Fast oscillation — reduce Kc; slow long oscillation — increase Ti; a sluggish return without oscillation — increase Kc or reduce Ti. A model (if you have one) gives a better starting point: IMC and SIMC.

00.511.5050100150200250300time, sPVSPKc 0.5Kc 1.04Kc 2
Ti = 45 s fixed, only Kc changes. Kc 0.5: no overshoot but settling 155 s; Kc 1.04: 5.5 % and 74 s; Kc 2: 51 % and 161 s. With dead time the useful range of gains is narrow.

The model is not the plant

The numbers below come from the section model (K = 1.8 °C/%, τ = 45 s, θ = 12 s) in the simulator. They show the direction of the effect. A plant has noise, non-linearity, saturation and disturbances, so the same settings give a similar but not identical picture.

Effect of the parameters

PI controller, set-point step:

ChangeOvershootSettlingWhat it looks like
Kc 0.5, Ti 45 s0 %155 ssluggish approach
Kc 1.04, Ti 45 s (SIMC)5.5 %74 sbaseline
Kc 2, Ti 45 s51 %161 soscillation with a period ≈ 58 s
Kc 1.04, Ti 15 s66 %266 soscillation with a period ≈ 99 s
Kc 1.04, Ti 120 s0 %442 sfast approach and a long "tail"

Open the baseline in the simulator — change Kc and Ti and compare with the table.

Telling too much P from too much I

  • Too much Kc: relatively fast oscillation — a period of about 4–5 θ (58 s with θ = 12 s in the example), output and PV almost in antiphase.
  • Too much integral (Ti too small): slower oscillation (99 s in the example), PV smoothly "floats" past the set point, the output lags PV by about a quarter period.
  • Ti too large: PV approaches the set point quickly, but the last percent of error takes very long.

Order of steps

  1. Starting values. From the model; without one — a Kc such that a 2–5 % set-point step changes the output by roughly the same percentage, Ti ≈ the estimated process time constant, Td = 0.
  2. Small set-point steps (or wait for natural disturbances) — in both directions.
  3. Kc first, then Ti, then (if needed) Td. Change by a factor of 1.5–2.
  4. Write down each "setting → result" pair; evaluate with the response metrics.
  5. Stop at an acceptable result. The last few percent of speed are usually bought with stability margin.

Safety

  • Changing settings on a running plant is a process operation. Agree on it, define acceptable deviations and be ready to switch to manual.
  • Switching modes and changing parameters must not bump the output (bumpless transfer).
  • An oscillating loop that "seems to have calmed down" may start oscillating again at a different load.

Typical mistakes

  • Changing several parameters at once — you cannot tell what worked.
  • Curing oscillation by reducing Ti (more integral) — only makes it worse.
  • Tuning with a saturated output — the controller is not in control and the settings do not show in the response (integrator windup).
  • Tuning around a mechanical problem: valve backlash or stiction cause oscillation that tuning cannot remove (troubleshooting).

Limits

The period-based signs are guidelines for self-regulating processes. For integrating processes (level) slow oscillation is more often caused by too small a Kc together with a small Ti.

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Sources

  1. Åström & Murray — Feedback Systems, 2nd ed. (2020), ch. 11 «PID Control», §11.1 (effect of Kc, Ti, Td), §11.3 — Caltech / Lund University
  2. Skogestad — Simple analytic rules for model reduction and PID controller tuning, J. Process Control 13 (2003) 291–309: retuning from closed-loop data — NTNU

Updated 2026-10-12