Some Practical Issues and Possible Solutions for Nonlinear Model Predictive Control

Several practical issues (e.g., excessive on-line computational time) associated with a conventional Nonlinear Model Predictive Control algorithm are illustrated through simulation studies on two chemical processes — a binary distillation column and the Tennessee Eastman Challenge Process. We show why it is generally not a good idea to use a small control horizon to reduce the on-line computational time. The effectiveness of the Nonlinear Model Predictive Control algorithm recently proposed by Zheng in resolving these issues is illustrated.

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