Applied Control Systems with Arduino

Designing hardware that reacts precisely to its environment requires a solid understanding of control theory and discrete-time programming. This course bridges the gap between mathematical theory and hardware implementation, guiding you through the process of programming sensors and actuators to maintain stability and performance. Through written explanations and code-based exercises, you will transform theoretical concepts into functional logic for real-world hardware. You will learn how to translate continuous physical behavior into the discrete steps required by a microcontroller to ensure your projects operate with precision and reliability. What you'll learn: - Understand fundamental control theory concepts including feedback loops and dynamic systems - Implement discrete-time control algorithms within the Arduino IDE - Master PID (Proportional-Integral-Derivative) control for precise hardware regulation - Apply digital filtering techniques to handle sensor noise and improve signal quality - Configure real-time response patterns for motors, heaters, and other actuators - Practice tuning control parameters to achieve system stability and minimize error The curriculum begins with foundational definitions of control logic and system dynamics before progressing to written walkthroughs of algorithm implementation and optimization. This course is designed for beginners in robotics or mechatronics and requires no prior experience with control theory. Start building smarter, more stable Arduino projects today.