PID Controller Tuner

Interactive PID Parameter Optimization

PID Controller Tuning Lab

Adjust proportional, integral, and derivative gains, compare controller behavior across process types, and diagnose whether the response is too slow, too oscillatory, or well damped.

Goal

Tune a feedback loop and justify the result using response metrics.

Try

Start with Motor Balanced, then compare Slow Temperature and Aggressive Motor.

Watch

Use overshoot, settling, steady-state error, and the diagnosis text together.

Reflect

Which gain would you change first if a real actuator was oscillating?

Guided Investigation

1. Use Motor Balanced and inspect how the response approaches the setpoint.
2. Switch to Slow Temperature and notice why a large Kp can still settle slowly.
3. Try Aggressive Motor and use the diagnosis to decide which gain to reduce.

Scenario Focus

Motor Balanced is a moderate loop where proportional action gives speed, integral removes final error, and derivative adds damping.

Quick Presets

Ready: Motor Balanced loaded

Process and Gains

Process Temperature: slow thermal loop Motor speed: medium loop Flow rate: fast loop

Test Mode Setpoint step Step plus load disturbance

Kp: Proportional4.0

Responds to present error. More Kp usually improves speed but can create overshoot.

Ki: Integral0.80

Accumulates error. More Ki removes bias but can cause slow oscillation or windup.

Kd: Derivative1.6

Responds to rate of change. More Kd damps overshoot but can amplify noisy measurements.

Tuning Snapshot

Process

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Style

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Stability

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Score

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Step Response

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Overshoot

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Settling

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SS Error

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Rise Time

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Peak Time

Tuning Diagnosis

Run a response to see the tuning diagnosis.

Preset Comparison

Preset	Metrics	Signal

Gain Effect Check

Gain	Current Signal	What To Try

Process Notes

Motor speed has medium dynamics and is a good starting point for PID learning.

Question	Current Signal	Why It Matters