Closed Loop Control
Closed loop control is a fundamental concept in control systems engineering where a system uses feedback to automatically adjust its output based on measured performance against a desired setpoint. It continuously compares the actual output (via sensors) with the target value, calculates an error, and applies corrective actions (via actuators) to minimize this error over time. This creates a self-regulating system that maintains stability and accuracy in dynamic environments.
Developers should learn closed loop control when working on systems requiring automation, precision, and adaptability, such as robotics, industrial automation, autonomous vehicles, or IoT devices with environmental regulation. It's essential for applications where maintaining specific conditions (e.g., temperature, speed, position) is critical, as it enables real-time adjustments to disturbances and uncertainties, improving reliability and performance compared to open-loop systems.