Applied Control Systems in Arduino

🤖 Master Applied Control Systems with Arduino: A Practical Journey into Dynamic System Control 🚀

Course Title: Applied Control Systems in Arduino
Instructor: Sergio Andres Castaño Girado
Headline: Control of Dynamic Systems in Discrete Time Programmed in Arduino IDE

Embark on a transformative learning journey with our Applied Control Systems in Arduino course! 🎓✨ This is where theory meets practice, and you get to play the role of a control engineer. Say goodbye to abstract concepts and hello to hands-on experience using the versatile ARDUINO UNO or ARDUINO LEONARDO platform.

Why Take This Course?

• Practical Approach: Dive straight into real-world applications of control systems without unnecessary theoretical baggage.
• Hands-On Learning: Develop your own practice system from scratch, just like the instructor does in the videos – no pre-built kits here!
• Skill Mastery: Learn to model, program, and control dynamic systems using C programming on a microcontroller, with clear step-by-step guidance.
• Real-World Application: Understand the nuances of designing control algorithms tailored to real-life applications, and troubleshoot common issues that can affect system performance.

What You Will Learn:

1. Build Your Own Temperature System: Start by creating a temperature regulation system, which will be the foundation for your learning and experimentation.
2. Data Acquisition and Modeling: Learn to gather data from your plant (in this case, a temperature system) to create mathematical models that describe its dynamics.
3. Control Algorithm Programming: Explore different control algorithms and how to implement them in Arduino, from tuning existing systems to designing new ones.
4. Error Analysis: Identify potential errors in the implementation of control systems and learn how to correct them for better performance.
5. Coding Control Structures: Translate control structures into C code, enabling you to apply your knowledge beyond the basics and adapt to any microcontroller-based system.
6. Explicit and Implicit Controllers: Implement controllers both in explicit form (PID controllers) and implicit form within the Arduino microcontroller environment.
7. Engineering Tools Integration: Gain insight into the role of engineering tools like Matlab/Simulink in the development and design of control systems, and how they complement your practical skills.

By the end of this course, you will have:

• A solid understanding of control systems and their application in a discrete time context.
• Practical experience in developing and testing a temperature regulation system using an Arduino board.
• The ability to model, program, and control dynamic systems with confidence.
• A foundation for further exploration into more advanced control techniques and applications.

Join us now to transform your passion for technology into the skill of mastering control systems! 👩‍💻👨‍💻

Enroll today and take the first step towards becoming a skilled control engineer with Arduino! 🌟