Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multivariable Static Output Feedback Control of a Binary Distillation Column using Linear Matrix Inequalities and Genetic Algorithm

Version 1 : Received: 25 December 2017 / Approved: 26 December 2017 / Online: 26 December 2017 (05:22:09 CET)

How to cite: R., K.; Kandath, H.; J., S.; G., B.; Gour, A.S. Multivariable Static Output Feedback Control of a Binary Distillation Column using Linear Matrix Inequalities and Genetic Algorithm. Preprints 2017, 2017120184. https://doi.org/10.20944/preprints201712.0184.v1 R., K.; Kandath, H.; J., S.; G., B.; Gour, A.S. Multivariable Static Output Feedback Control of a Binary Distillation Column using Linear Matrix Inequalities and Genetic Algorithm. Preprints 2017, 2017120184. https://doi.org/10.20944/preprints201712.0184.v1

Abstract

The current work addresses the control of two-input two-output (TITO) Wood and Berry model of a binary distillation column. The controller design problem is formulated in terms of multivariable H control synthesis. The controller structure takes the form of simplest static output feedback (SOF) control. The controller synthesis is performed using a hybrid approach of blending linear matrix inequalities (LMI) and genetic algorithm (GA). The performance of the static output feedback controller is compared with three other controllers designed for Wood and Berry model available in the literature. The first simulation study is performed for the case of tracking a unit step command in the presence of a step change in output disturbance. A second simulation study is performed for rejecting a change in sinusoidal output disturbance.

Keywords

distillation column; disturbance rejection; genetic algorithm; H∞ control; linear matrix inequalities; static output feedback

Subject

Engineering, Control and Systems Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.