Evolutionary auto-tuning algorithm for PID controllers

Abstract In this work, an auto-tuning procedure for PID controllers is presented. This autotuning procedure identifies a FOPDT model for a given process and uses an evolutionary algorithm to solve a constrained non-convex optimization problem to adjust the parameters of a PID controller with derivative filter. The auto-tuning procedure is validated with a set of process with different characteristics. Presented results validate the auto-tuning algorithm as a practical and viable application for auto-tuning procedures.

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