Control Engineering is at the heart of almost every modern technology, from robotics to home automation, and now, with the help of Arduino, ESP32, and RP2040, it’s more accessible than ever. In "Control Engineering with Fuzzy Logic," you’ll take a hands-on journey into the world of control engineering techniques that have powered countless innovations. This book focuses on PID controllers, fuzzy logic, and the versatile ESP32, opening up a world of possibilities for engineers, students, and electronics enthusiasts alike.

A Practical Introduction to Control Engineering

Control Engineering enables everything from regulating heating systems to fine-tuning temperature control and motor regulation using fuzzy logic. This book equips you with the tools to design efficient, precise systems. It introduces sensors such as temperature sensors, encoders, and pH sensors, and shows you how to integrate them into control systems using actuators like MOSFETs and H-Bridges.

Throughout the chapters, you’ll explore neural networks, sliding-mode controllers, and real-world applications. The final chapter ties it all together with a practical fuzzy controller for grid feed-in, letting you apply what you’ve learned to an industry-relevant project.

ESP32 Fuzzy PID Controller Board

The ESP32 Fuzzy PID Controller Board is at the core of the projects in this book. This versatile board is designed for precise control applications and integrates easily with a range of systems. It supports practical uses like PLCs, Modbus TCP, MQTT, and web apps via WebSockets. With its powerful ESP32 chip and flexible I/O options, the board is perfect for temperature regulation, motor speed monitoring, and more.

Below is a detailed overview of the board's key features:
 
Feature Description
Microcontroller ESP32: Powerful processing, wireless capabilities (Wi-Fi & Bluetooth).
Input Interfaces 2 x NTC 10K (temperature measurement), 1 x PT1000 (temperature sensor), 1 x OneWire (DS18B20, DHT11/DHT22), 2 x Buttons, 2 x Potentiometers, 2 x Sense Lines for motor speed/position.
Output Interfaces 2 x 24V 1A (motor/relay control, PWM), 2 x Analog Outputs (0 to 5V), 1 x I2C (for expansion), 1 x UART2 TTL (for Nextion Display).
Control Features Supports PID and fuzzy logic control algorithms for precise regulation of systems.
Protocols Supported Modbus TCP, MQTT, WebSockets for easy integration with IoT and web apps.
Expansion I2C and UART interfaces for adding additional modules and displays.
User Interface Buttons and potentiometers for manual adjustments; Nextion display for clear visualization.
 
elektor
ESP32 Fuzzy PID Test Board

Featured Project: Smart Solar Power Management with ESP32

One of the standout projects in the book is a smart solar power management system that uses an ESP32 (Arduino) controller to make solar energy more efficient. This project is designed to store excess solar energy during the day and make it available for use at night.

Using a low-cost solution, the project integrates a LiFePO4 battery and applies either a PID or fuzzy logic controller to precisely regulate the energy output. The system continuously monitors the output of three-phase current and controls a micro-inverter to ensure optimal grid feed-in. This is a great example of how control engineering concepts like PID and fuzzy logic can be applied in real-world energy systems, helping to optimize the efficiency and sustainability of solar power.

System for zero feed-in
System for zero feed-in

Start Building Smart, Efficient Systems Today

By the end of this book, you’ll be ready to turn your ideas into action using Arduino and ESP32. Whether you're an engineer looking to sharpen your skills or a hobbyist eager to create your next big project, this book offers endless possibilities for building smart, efficient, and reliable control systems.

Ready to start building smarter systems today? Get started with our comprehensive guide to control engineering with Arduino and ESP32!