Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Control theory and process control

Auto-tuning

Also known as: Automatic tuning, Self-tuning

German: Selbstoptimierung

In control engineering, auto-tuning is a function of a controller or engineering tool that determines controller parameters automatically, typically by exciting the process with a step or relay test and deriving the parameters from the measured response.

  • Control theory

In one sentence

Auto-tuning determines PID parameters automatically from a test on the process, such as a step or relay experiment.

Example

A temperature controller on an extruder zone runs a relay test at commissioning and proposes P, I and D values that the technician reviews and accepts.

How it applies

  • Commissioning: Auto-tuning excites the process deliberately. Before starting it, make sure the process can tolerate the test amplitude and that limits and interlocks are active. The result is a starting point that still needs review against the required behavior.
  • Operation: Some controllers retune continuously or on demand. Define who may start a tuning run, typically via an Access level on the HMI.
  • Documentation: Describe the preconditions for a tuning run (steady state, loop in manual, allowed test amplitude), how to accept or reject results and how to restore the previous parameters. Record the accepted parameters as part of the commissioning record.

Auto-tuning vs. adaptive control

Auto-tuning determines parameters once or on request. Adaptive control changes parameters continuously while the loop is running. A controller can offer both, but they should be documented as separate functions.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Blog editorial definition, based on control engineering practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Blog and are not part of any standard.

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