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Real-Time optimizing Nonlinear control Applied to a Continuous Reactive Distillation Process

IFAC Proceedings Volumes 2011年第1期44卷 4892-4897页

作者： Elrashid Idris Sebastian Engell Faculty of Bio-Chemical & Chemical Engineering TU-Dortmund 44227 Dortmund Germany

Abstract Chemical processes are usually operated under feedback control of critical operating conditions to maintain process safety, product quality and economic performance. Increasingly, linear model predictive is applied to these coupled multivariable control problems and in some cases the reference values are adapted infrequently by an optimization based as a rigorous nonlinear stationary plant model (RTO). However, in between these optimizations that plant may operate suboptimally due to the presence of disturbances. In recent years, it has been proposed to use nonlinear model-based optimization of the available degrees of freedom of a process over a finite moving horizon to integrate set-point optimization and feedback control (for a survey see Engell (2007)). In this paper we demonstrate the feasibility and the potential of the optimizing nonlinear control for a challenging example, a reactive distillation column. The performance of the controller is an economics-driven response since the profit function represents the main part of the objective criterion while the quality specifications as well as the physical limitations of the process were incorporated as optimization constraints. A performance comparison between the tracking controller and the optimizing nonlinear controller is also shown.

关键词： Reactive distillation Non-linear model predictive control Non-minimum phase behavior tracking and optimizing control Static gain sign change

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