The main fusion-conversion technology of copper concentrates used in Chile is the Teniente Converter. This process presents a complex dynamic due to the fact that it combines the continuous inflow of flows with the in...
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The main fusion-conversion technology of copper concentrates used in Chile is the Teniente Converter. This process presents a complex dynamic due to the fact that it combines the continuous inflow of flows with the intermittent extraction of the products in autogenous operation regime. This research presents a scale plant that aims to measure the dynamic fluid behavior of the liquid phases to predict the performance that the level sensors could have. In the scale plant, immiscible liquids are used at room temperature and injection of air through submerged nozzles to generate emulsion. A digital vision system is used as a level sensor in the scale plant. The online measurement of the levels allowed us to implement a model-based predictive controller to optimize the liquid phase separation process. The prediction model used continuous and discrete variables. The tests of the scale plant using the closed loop predictive control showed good results when considering the perturbations associated with the emulsion phase.
This paper deals with the on-line control of mixedprocesses composed of continuous and batch units in which some continuous variables must be kept as close as possible at prescribed values and the batch units must be...
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This paper deals with the on-line control of mixedprocesses composed of continuous and batch units in which some continuous variables must be kept as close as possible at prescribed values and the batch units must be scheduled in order to avoid bottlenecks in production. In particular, a pilot plant is considered with product recycle involving simultaneous continuous and scheduling decisions. The problem is of hybrid nature and can be formulated as a hybrid predictive control model in terms of integer and continuous variables. However, as the system must be controlled in real-time, an alternative formulation is proposed based on a hierarchical view of the problem and the use of flow patterns and time of occurrence of events in the batch units. The paper describes the process, the control problem formulation, and provides results of some test in the pilot plant. (C) 2008 Elsevier Ltd. All rights reserved.
This paper deals with the model predictive control (MPC) of an industrial hybrid process where continuous and batch units operate jointly: the crystallization section of a sugar factory. The paper describes a plant-wi...
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This paper deals with the model predictive control (MPC) of an industrial hybrid process where continuous and batch units operate jointly: the crystallization section of a sugar factory. The paper describes a plant-wide predictive controller that takes into account, both, continuous objectives and manipulated variables, as well as those related to the discrete operation and logic of the batch units. The MPC is formulated with time events, so that a more efficient NLP optimization technique, instead of MINLP, could be applied. Adaptation is provided by model updating and error estimation. Results of the controller operation in an industrial simulator are provided. Copyright (c) 2007 John Wiley & Sons, Ltd.
This paper deals with a mixedcontinuous-batch process, a pilot plant of our Lab, where both continuous decisions and scheduling take place. The interest of this contribution comes not only from the fact that it is a ...
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This paper deals with a mixedcontinuous-batch process, a pilot plant of our Lab, where both continuous decisions and scheduling take place. The interest of this contribution comes not only from the fact that it is a challenging control problem, but because problems with a similar structure are present in many industrial process. The paper describes the process, the instrumentation (classical analogical/discrete devices, Field Bus devices) and the global architecture of the pilot plant control (Distributed Control System DCS, Supervisory Control and Data Acquisition SCADA, OPC communication, etc.). From a control point of view, it presents a brief description of control problem formulation in the framework of non-linear model predictive control, and a generic methodology to design this kind of predictive controllers. Finally it is presented the results of some real experiments.
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