Embedded Systems for Industry 4.0
Embedded Systems for Industry 4.0
Course Overview: Modern C++20 & Advanced Algorithms
In the era of Industry 4.0, the efficiency of firmware defines the success of a production line. This course bridges the gap between theoretical computer science and real-world hardware constraints.
What You Will Learn
- Modern Tooling: Configuring ESP32 with C++20 and Over-The-Air (OTA) updates.
- Resource-Aware Algorithms: Sorting and searching optimized for limited RAM.
- Industrial Signal Processing: Implementing EMA and Kalman filters to combat electrical noise.
- Motion Control: PID algorithms for precise robotics and automation.
Curriculum at a Glance
- The Digital Twin Setup: C++20, PlatformIO, and Wireless Debugging.
- Memory Safety: Stack vs. Heap and Circular Buffers.
- Industrial Sorting: Resource-aware algorithms for data priority.
- Fast Lookup: Binary search in calibration tables.
- Data Filtering: EMA & Kalman filters for noisy environments.
- Motion Control: Implementing PID for Stepper Motors.
- IIoT Interconnectivity: Secure MQTT and JSON serialization.
- The Smart Node: Integrating everything with FreeRTOS.
Support this Research: Access to full code samples and PlatformIO templates is available for my GitHub Sponsors.