Control systems are the brain and nervous system of mechatronic devices, allowing them to respond intelligently to their environment. From simple thermostats to complex robots, these systems enable machines to make decisions, maintain stability, and perform tasks autonomously. In this unit, we'll explore how control systems work, build our own using microcontrollers and sensors, and unlock the potential to create smart, responsive mechanical systems.
Discover the fundamental concepts of control systems and explore the difference between open-loop and closed-loop systems. Apply this knowledge to program simple control algorithms using the Maqueen robot and micro:bit.
Explore the crucial role of feedback and sensors in creating responsive mechatronic devices. Learn to implement basic closed-loop control algorithms, including a line-following robot, to understand how machines can adapt to their environment.
Uncover sophisticated control methods like PID control and state machines, and learn how to fine-tune system responses for optimal performance. Apply these advanced techniques to enhance a line-following robot and create more complex behaviors, developing valuable skills in algorithm development and system optimisation.
Dive into the principles of autonomous control, focusing on decision-making algorithms and navigation in unknown environments. Program Maqueen robots to autonomously avoid obstacles and perform tasks, culminating in a project that combines movement, sensing, and manipulation using the Maqueen Mechanic Beetle.