Process Control Design for Industrial Applications

Preface

The purpose of this book is to present the various aspects and the different approaches most commonly employed in the control of industrial processes.

Considering that process control design is carried out using a model based approach, the modeling and identification of the systems are presented with the main objective of producing dynamic control models.

Using the chosen model, the control system is determined so as to ensure that the process satisfies the required level of performance. In the case of linear models, the main methods used in control design are based on the notion of pole placement.

In order to account for the fact that the chosen model is only a simplified and often imperfect description of the process’ behavior, more elaborate controls can be suggested: adaptive control, predictive control, internal model control, etc.

When the behavior of the process is strongly nonlinear, the use of a multimodel control can become necessary. The determination, choice and consideration of the various models that can describe the evolution of the process at various operating points depend on the validity of each of these models at the chosen operating points.

We propose a method for estimating the error induced by the models’ own estimation difficulties, and by the presence of uncertainties, noise and bounded perturbations.

After presenting the physical laws that govern the evolution of continuous variation processes, we go on to to explore in detail several real optimized ...