Abstract

PID controller has a wide range of applications in industrial control due to its suitability for a variety of system types, easy operation, and effective results. With the advancement of technology, however, industrial production is placing a greater emphasis on automation, intelligence, and PID controllers, as it is difficult to adapt linear time-invariant systems to the control requirements of current industrial production. This research examines the optimization and transformation of PID controller using a range of clever algorithms by conducting a literature review. PID controller paired with an intelligence algorithm has superior transient and steady-state performance compared to standard PID when dealing with nonlinear systems that are more complex and difficult to predict. This paper's research reveals the general optimization concept and direction of self-tuning PID with an intelligent algorithm.

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