The Self-Training of IoT Experts: Mastering Raspberry Pi, Arduino, and ESP32

Learn four essential technologies in one book:
IoT communication, digital filter design, image tracking, and motor control.

This book guides you through the core concepts and practical techniques required for IoT systems using Node-RED and Python on Raspberry Pi. It also integrates Arduino and ESP32 to explore advanced topics such as digital filter design and bidirectional MQTT control systems.

By the end of this book, readers will not only understand the fundamental concepts of IoT systems but also gain hands-on experience in four key technical areas: IoT communication, digital filter design, image tracking, and motor control.

Key Features

⚙️ Node-RED and Python programming for IoT systems

📡 Bidirectional MQTT communication and control
🔩 Stepper motor control techniques
📊 Digital filter design methods
👁️ OpenCV template-matching for image tracking
🔌 Serial communication and signal-spectrum fundamentals with practical verification

AC Motor Control and Simulation Techniques:
Mastering the Core Algorithms Behind Electric Vehicles and Variable-Frequency Drives

This book provides a comprehensive exploration of induction motors, permanent-magnet synchronous motors (PMSMs), and brushless DC (BLDC) motors, including their operating principles, physical mechanisms, and control strategies. It also includes extensive MATLAB/SIMULINK simulation examples that readers can use to bridge the gap between theory and practical implementation while developing physical intuition and a control-system design mindset.

In addition to fundamental motor-control theory, the book covers many practical engineering topics, including PWM inverter modeling, motor-parameter self-identification algorithms, control-loop design techniques, sensorless control methods, field-weakening control, and per-unit system modeling. All concepts are supported by MATLAB/SIMULINK simulations and verification, enabling readers to gain both valuable knowledge and hands-on capability in AC motor-control theory and practice.

AC Motor Control Loop Design (Chinese version)

In the field of AC motor control, the design of digital control loops has long been a challenging topic. As technology advances, the demand for highly efficient and stable motor-control systems continues to grow, driving the need for deeper understanding and application of classical control theory to meet modern engineering requirements.

Digital control systems have become the dominant approach for implementing AC motor-control technology. However, digital systems inherently introduce delays, including computational delay, sampling delay, and output delay. These delays inevitably reduce system stability. If such delays are not properly considered during the control-loop design stage, the designed system bandwidth and stability may differ significantly from actual system performance.

This book approaches AC motor control-loop design—covering current, speed, and position loops—from the perspective of classical control theory concepts such as bandwidth, phase margin, and gain margin, while explicitly incorporating delay effects in digital systems. The resulting simulation models closely resemble real motor-control systems.

By constructing simulation tools that accurately reflect physical systems, engineers can significantly reduce development and testing costs. At the same time, such models serve as an effective foundation for building proprietary intellectual property, strengthening independent innovation capability and core technical competitiveness.