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This work considers the problem of economic model predictive control (EMPC) of electric arc furnaces (EAF), subject to the limited availability of process measurements and noise. The key issues addressed are: (1) the multi-rate sampling of process variables; and (2) the requirement of optimized operation that achieves desired product specifications and also minimizes the operating costs. To this end,...
More than 25 years after its introduction, Model Based Predictive Control (MBPC) is still very much underutilized. It is still perceived by many as too difficult, too expensive, not suitable for non-linear processes etc. Furthermore, many of the installed applications suffer from low utilization, mainly due to over-complex designs and resulting poor operator understanding and acceptance. As a consequence,...
Gas coning, which can lead to gas breakthrough in thin oil-rim reservoir fields, may deteriorate economics in oil production. This work reports on optimal control policies to be considered for short-term oil production optimization under gas coning conditions. These policies, incorporating an oil-rate dependent Gas-Oil ratio model, are formulated as an optimal control problem which optimize the oil...
We focus on the development of a Lyapunov-based economic model predictive control (LEMPC) method for nonlinear singularly perturbed systems in standard form arising naturally in the modeling of two-time-scale chemical processes. A composite control structure is proposed in which, a “fast” Lyapunov-based model predictive controller (LMPC) using a quadratic cost function which penalizes the deviation...
In this paper, papers about grey system recorded by CSSCI (1998 ~ 2007) are collected and analyzed with statistical analysis and bibliometric analysis such as year distribution, journal distribution, subject distribution, the core author and the geographical distribution of the author. So we can identify the core author, core journals, research institutes and the law of research on grey system in...
This paper presents an optimizing control scheme for simulated moving beds (SMB) that allows multi-rate (MR) sampled measurements to be incorporated into the control and estimation problem in a clear and transparent manner. This is particularly relevant for chiral separations where online monitoring requires the combination of various analytical techniques that may operate on widely varying time scales...
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