PID-Based Self-Balancing Control of a BLDC Motor
This project demonstrates the development of a PID-based self-balancing control system for a BLDC motor. The main objective of the project is to achieve stable motor behavior using closed-loop feedback and classical control methods. The system continuously measures the motor state and applies PID control to correct deviations and maintain balance.
The controller processes feedback signals such as motor position and speed, compares them with the reference value, and generates a control output in real time. Special attention is given to PID tuning, system stability, and smooth response without oscillations. This project highlights practical aspects of control theory applied to electromechanical systems.
Highlights:
- PID Control: Implementation of proportional, integral, and derivative control for motor stabilization.
- BLDC Motor Control: Real-time regulation of motor behavior using feedback signals.
- Control Theory in Practice: Demonstration of stability, response time, and error correction.
- Embedded & Mechatronic Systems: Integration of control algorithms with motor hardware.