Nonlinear Model Predictive Control of Chemical Reactors

다국어 초록 (Multilingual Abstract)

A robust nonlinear predictive control strategy using a disturbance estimator is presented. The disturbance estimator is comprised of two parts: one is the disturbance model parameter adaptation and the other is future disturbance prediction. RLSM(recurrsive least square method) with a forgetting factor is used to determine the uncertain disturbance model parameters and for the future disturbance prediction, future process outputs and inputs projected by the process model are used. The simulation results for chemical reactors indicate that a substantial improvement in nonlinear predictive control performance is possible using the disturbance estimator.

목차 (Table of Contents)

• Abstract
• Introduction
• Review of Nonlinear Model Predictive Control
• Disturbance Estimator
• Examples and Simulation
• Conclusions
• Literature Cited