APPLIED ADAPTIVE DYNAMICAL IDENTIFICATION TO THE PREDICTION OF CHEMICAL PROCESS EVOLUTION: A Case Study

Abstract

A Self Tuning/Adaptive Control Algorithm has been developed and tested. This control has proved to be efficient to maintain the pH effluent of the bench set-up at neutrality. It has been compared with other conventional controllers showing its greater ca-pacity to stand the high changing dynamic of the controlled plant. The minimal control equipment has been chosen in order to approach experimental conditions to industrial real cases. This selection increases the difficulty of the control. Adaptation has proved to be a reliable strategy even under additional constraints. The control goal has been achieved: The developed Self Tuning/ Adaptive Regulator guarantees, in a satisfactory way, pH neutralization without having to use holding stages and even standing in front of hard perturbations.