Master of Science
Mayuresh V. Kothare
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.
Zheng, Jianan, "Study of Robustness of Model Predictive Control of Rapid Pressure Swing Adsorption System to Disturbances and Uncertain Parameters using Scenario-based Simulations" (2019). Theses and Dissertations. 5717.