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! 🌟