BLDC PID Controller - PC-Powered Auto-Tune

Connection Not Connected

Motor Disabled

Raw RPM 0

Filtered RPM 0

Error 0

Stability --%

Status --

Connection

Local Server Required

Run: python3 -m http.server 8000

Access: http://localhost:8000

Quick Actions

PID Parameters

Target Speed

RPM

Kp (Proportional) 0.300

Ki (Integral) 0.0200

Kd (Derivative) 0.0200

Pulses Per Revolution

PPR

Tuning History

No tuning results yet

Data Management

Motor Speed

Target Raw Filtered (Kalman)

Control Error

Stability Score

Real-Time Analysis

Connect to Arduino and enable motor to begin analysis.

The system will automatically detect hunting, calculate overshoot, and suggest tuning improvements.

PC-Powered Features

Kalman Filtering: Smooth, noise-free RPM readings
One-Click Auto-Tune: Automatic PID optimization
Hunting Detection: Real-time oscillation alerts
Stability Scoring: 0-100% system health metric
Web Serial API: Direct browser-to-Arduino connection

Hosting Requirements

Local Server Only - Cannot be hosted on GitHub Pages
Run: python3 -m http.server 8000
Access: http://localhost:8000

Browser Support

Chrome 89+
Edge 89+
Opera 75+

Auto-Tune Process

Click "One-Click Auto-Tune"
System starts motor with conservative gains
Gradually increases Kp until oscillation
Calculates optimal PID using Ziegler-Nichols
Applies tuned parameters automatically

Status Indicators

STABLE System well-tuned
SETTLING Adjusting to target
HUNTING Oscillation detected

Version: 2.0 (PC-Powered Auto-Tune)
Authors: azzar budiyanto & azzar persona (AI assistant)
Date: December 2025