제어로봇시스템학회:학술대회논문집
- 1992.10b
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- Pages.419-424
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- 1992
Nonlinear model predictive control of chemical reactors
- Lee, Jongku (Department of Chem. Eng., KAIST, Taejon) ;
- Park, Sunwon (Department of Chem. Eng., KAIST, Taejon)
- Published : 1992.10.01
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 de the uncertain distance 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.
Keywords