What does signal conditioning involve in control systems?

Signal conditioning is a crucial process in control systems where a sensor's output is modified to make it suitable for further processing and interpretation. This entails converting raw sensor data into a more usable form, often involved in amplifying, filtering, or otherwise altering the signal to ensure that it accurately reflects the information needed for the control system to function effectively.

Choosing to manipulate a sensor's output to be compatible with input requirements reflects the core purpose of signal conditioning. Regardless of the type of sensor or system, this step helps ensure that data is presented in a way that minimizes potential issues such as misinterpretation or signal distortion, thus fostering more reliable system performance.

While filtering out noise is a part of signal conditioning, it is just one aspect and does not encompass the full definition of the process. Enhancing performance of the control loop and adjusting the physical components are related to broader system performance and modification tasks that are not specifically about preparing sensor outputs for processing.