Date

5-1-2019

Document Type

Thesis

Degree

Master of Science

Department

Chemical Engineering

First Adviser

Mayuresh V. Kothare

Abstract

Medical oxygen concentrators (MOCs) are widely used to produce high purity oxygen for

patients suered from the Chronic Obstructive Pulmonary Disease (COPD), and most

commercial MOCs use rapid pressure swing adsorption (RPSA) technology. Previous

studies proposed a multi-variable model predictive control (MPC) strategy applied to

the RPSA system which has been proved to have a better performance than control

using only single manipulated variable. In practice, the RPSA system will experienced

unknown disturbances and parameter uncertainties. This paper performs scenarios of

disturbance and parametric uncertainty simulation case studies to assess and explain the

current controller robustness and eectiveness. The results show that square error in the

objective function contributes to the set point tracking and integral action in the objective

function ensures the linear model accuracy. Current controller's roubustness is pretty good

even under simultaneous disturbances and uncertainties.

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