论文信息 - Nonlinear Model Predictive Control of a Distillation Column Using NARX Model

Nonlinear Model Predictive Control of a Distillation Column Using NARX Model

Abstract Distillation column is an important process unit in petroleum refining and chemical industries, and needs to be controlled close to optimum operating conditions because of economic incentives. Nonlinear model based control (NMPC) scheme is one of the best options to be explored for proper control of distillation columns. In this work, NMPC scheme using sigmoidnet based nonlinear autoregressive with exogenous inputs (NARX) model has been developed to control distillation column The Unscented Kalman Filter (UKF) was used to estimate the state variables in NMPC and the nonlinear programming (NLP) problem was solved using sequential quadratic programming (SQP) method. The closed loop control studies have indicated that the NARX NMPC performed well in disturbance rejection and set point tracking.

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