Control Engineering Portfolio

This repository showcases my implementations of classical and advanced control algorithms, tailored for Senior Control Engineer roles in industry.
It highlights practical applications using simulation and hardware (Arduino, magnetic levitation board, robotics car).

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⚙️ Projects Included

1. PID Control

• Basic PID design and tuning.
• Applications in an Arduino-based ball-balancing system.

2. LQR Control

• Linear Quadratic Regulator (LQR) design.
• Applied to stabilization problems and robotics, car trajectory tracking.

3. Model Predictive Control (MPC)

• Single and multi-variable MPC implementations.
• Simulation and potential for hardware deployment.

5. System Identification

• Data-driven modeling of dynamic systems.
• Bridging theory with real industrial processes.

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🛠 Tools & Technologies

• Languages: Python, Matlab, C++ (Arduino)
• Frameworks: CasADi, Control Systems Library, Simulink
• Hardware: Arduino Starter Kit, MPU6050, Magnetic Levitation Board

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📌 Purpose

This portfolio demonstrates my ability to:

• Design and implement control systems (classical and modern).
• Translate theoretical algorithms into hardware applications.
• Bridge data-driven modeling with real-time automation challenges.

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