PLC Simulator
Closed-loop tuning lab

PID Simulator

Change Kp, Ki and Kd, run the process, and get an objective tuning score.

Run before signup Server-graded Save, share and fork
Open the workbench
industrial-lab / pid
MODETRAINING
GRADERSERVER AUTHORITY
EVIDENCECHECKS + SCORE

First challenge

Tune a delayed temperature loop

Hold a 60 °C setpoint on a first-order process with an 8 s time constant and 2 s transport delay.

Reusable lab resources

PID tuning recordCSV

Interactive tuning lab

Configure. Run. Read the evidence.

Intermediate

Tune a delayed temperature loop

Hold a 60 °C setpoint on a first-order process with an 8 s time constant and 2 s transport delay.

Evidence appears here

The backend calculates the expected result and returns individual checks, a score and reproducible evidence. Client-supplied scores are ignored.

Your run is free. Keep the evidence when it matters.

Create an account only when you want saved attempts, projects, sharing and progress.

Save this result

Training outcomes

More than a calculator.

Each run teaches a transferable industrial workflow and produces evidence you can inspect, repeat and discuss.

01

See how proportional, integral and derivative terms change the same process.

02

Compare overshoot, settling time, final error and IAE instead of tuning by appearance.

03

Save alternate tunings and share a read-only setup for peer review.

04

Progress from a free run to graded tuning records and training evidence.

Field method

How to reason through the lab

STEP 01

Increase Kp until the loop responds

Proportional gain creates an immediate correction. Too little is slow; too much produces cycling or actuator saturation.

STEP 02

Use Ki to remove offset

Integral action accumulates error and eliminates steady-state offset. Aggressive integral gain creates overshoot and wind-up, especially when the output saturates.

STEP 03

Add derivative sparingly

Derivative action anticipates change and can damp a clean process. On noisy measurements it amplifies noise, so real controllers normally filter the derivative term.

Continue from a single exercise to a complete training record.

Guided scenarios, saved progress, fault diagnosis and instructor reporting are built into the main platform.

Compare training plans
PID Simulator questions

What learners and instructors ask.

It uses a deterministic first-order-plus-dead-time training process with output limits, integral anti-windup and an optional mid-run load disturbance. That makes tuning attempts repeatable and comparable.