Intelligent Motor Analytics and Closed-Loop Speed Control Framework Using ESP32 and Encoder Feedback Technology

This project presents an intelligent motor control framework that combines real-time motor analytics with closed-loop speed regulation using an ESP32 microcontroller and encoder feedback technology. The system continuously monitors motor speed through an encoder attached to the DC gear motor and compares the measured speed with the desired reference value. Based on the feedback data, the ESP32 dynamically adjusts PWM control signals through the L298N motor driver to maintain accurate and stable motor operation. An OLED display provides real-time visualization of speed, operating status, and system parameters. The proposed framework enhances motion precision, operational efficiency, and control stability, making it suitable for robotics, automated guided vehicles, industrial automation systems, and intelligent motion-control applications requiring high-performance speed regulation and feedback-based decision making.

Key Features

• Closed-loop speed control using encoder feedback

• Real-time RPM measurement and monitoring

• Adaptive PWM-based motor regulation

• OLED-based live parameter visualization

• ESP32 edge-processing architecture

• High-accuracy motor speed stabilization

• Real-time performance analytics

• Suitable for robotics and automation applications

Application Areas

• Mobile Robotics

• Automated Guided Vehicles (AGVs)

• Industrial Automation

• Conveyor Belt Systems

• Smart Manufacturing

• Precision Motion Control

• Educational Robotics Research

• Autonomous Navigation Platforms