Practical Applications and Projects with Arduino, ESP32, and RP2040

Explore the exciting field of control engineering through hands-on projects using Arduino, ESP32, and RP2040 microcontrollers. This comprehensive guide provides a practical introduction to both classical and modern control techniques, empowering readers to design, implement, and optimize intelligent control systems for real-world applications.

What You'll Learn

Foundations of Microcontroller-Based Control Systems

Begin by mastering the fundamentals of popular development platforms, including Arduino Uno, ESP32, and RP2040. Learn how these versatile microcontrollers can be used to build powerful automation and control solutions.

Sensor Integration and Data Acquisition

Discover how to interface and work with a variety of industrial and environmental sensors, including NTC thermistors, PT100 and PT1000 temperature sensors, and pH sensors. Learn reliable techniques for data acquisition, calibration, and real-time monitoring.

Advanced Visualization and User Interfaces

Create intuitive monitoring systems by displaying sensor readings, process data, and control parameters on Nextion TFT displays. Develop professional user interfaces for enhanced system interaction and control.

Actuators and Power Electronics

Gain practical experience with essential control hardware such as MOSFET switches, H-bridge motor drivers, and solid-state relays. Learn how to control motors, heaters, pumps, and other actuators commonly used in automation projects.

System Modeling and Analysis

Understand the principles of process dynamics and control system design. Learn how to analyze and model controlled systems, including first-order (PT1) and second-order (PT2) processes, to achieve stable and efficient control performance.

Modern Control Techniques

Implement industry-relevant control strategies, including:

• PID (Proportional–Integral–Derivative) Controllers
• Fuzzy Logic Controllers
• Sliding-Mode Controllers

Through practical examples, you'll learn how to apply these methods to temperature regulation, DC motor speed control, and other real-world control applications using both Arduino Uno and ESP32 platforms.

Machine Learning and Neural Networks

Explore the fundamentals of artificial neural networks and discover how machine learning concepts can be deployed on resource-constrained microcontrollers. Learn how intelligent algorithms can enhance embedded control systems and automation projects.

Real-World Energy Management Project

Put your knowledge into practice with a complete project that demonstrates the implementation of a fuzzy logic controller for managing electricity feed-in to a residential power grid, showcasing a practical application of intelligent energy control.

Who This Book Is For

This book is ideal for:

• Engineers and automation professionals
• Electronics enthusiasts and makers
• University students and researchers
• Embedded systems developers
• Anyone interested in advanced control techniques and intelligent automation

By combining theory with practical implementation, this book equips readers with the knowledge and skills needed to develop innovative control systems and smart automation solutions using Arduino, ESP32, and RP2040 platforms.