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Enhancing Industrial Automation: Integrating Time Series Predictions with PID Control
Introduction
Just want to start off by thanking Manjunath Mahashetti once again, without his valuable insights and knowledge this article series would not have been possible !
In the realm of industrial automation, achieving precise control over dynamic systems is crucial for optimizing efficiency and reliability. Traditional PID (Proportional-Integral-Derivative) controllers have long been used to manage processes by reacting to current and past errors.
However, combining these systems with modern time series prediction models offers a powerful enhancement: the ability to anticipate future states and adjust controls proactively. This article explores how integrating time series predictions with PID control can improve system performance, enhance stability, and pave the way for innovative applications like digital twins.
