Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Automation fundamentals, platforms and components

Sampling time

Also known as: Sampling interval, Sample time

German: Abtastzeit

In digital control and measurement, the sampling time is the interval between two successive acquisitions of a signal value. It determines which signal dynamics can be captured and, in digital controllers, how often the control algorithm is executed.

  • Automation components

In one sentence

Sampling time is the interval between two signal acquisitions; it limits which dynamics a digital measurement or controller can capture.

Example

The temperature loop runs with a sampling time of 500 ms, while the drive's current loop samples every 62.5 µs.

How it applies

  • Engineering: The sampling rate must be well above the highest frequency of interest (Nyquist-Shannon theorem), and anti-aliasing filters prevent false low-frequency signals. For controllers, sampling time should be small compared with the process Time constant.
  • Commissioning: PID parameters depend on the sampling time; changing a task's cycle time can detune a loop. Jitter in the sampling instant adds noise.
  • Documentation: State the sampling time for each measured value in data logging, trends and interface specifications. A logged trend with 1 s sampling cannot show a 100 ms spike, which matters when logs are used as evidence.

Sampling time vs. scan cycle

The Scan cycle is how often the PLC program runs. A value may be sampled faster in the I/O module or slower in a dedicated task, so the two are not automatically the same.

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

Source: AI TechDoc Knowledge editorial definition, based on common digital control 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 Knowledge and are not part of any standard.

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