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In this work an Advanced Process Control module based on a two-layer linear Model Predictive Control architecture is presented. The two layers, exploiting model-based predictions and suitably cooperating, optimize both the dynamic and steady state behaviors of the considered process. Furthermore, each layer is equipped with a decoupling strategy developed in order to provide a selection of the manipulated...
In this work a two-layer Model Predictive Control strategy is presented. The upper layer searches for optimal steady state targets, while the lower layer manages the transient state of the considered process, calculating the future control moves. In order to efficiently handle time delays on the input-output channels, a suitable lower layer formulation has been developed. In particular, a decoupling...
In this work the optimization process of a steam reforming unit located in a petrochemical plant is described. The need to enhance the efficiency level, to increase the profitability as well as the commitment to meet precise production standards has motivated the adoption of Model Predictive Control (MPC) techniques. The proposed MPC system has been implemented on a real plant and its performances...
In this work a first-principles based model for the prediction of the Syngas composition produced in a gasification plant is described. The model design is based on chemical-physical principles of the gasification process and is based on nonlinear static equations. For the formulation of the equations, Gibbs energy minimization of the compound used in the gasification process is taken into account...
In this work the model identification of a visbreaking column for the estimation of the recovered volume at 360°C of Gasoil is considered and a filtering procedure for the selection of the identification data set is presented. A high valuable product for the visbreaking process is the light gasoil; its purity can be measured by the recovered volume at 360°C and, for control purposes, an on-line estimation...
The paper proposes a Fault Detection and Isolation (FDI) procedure based on a model-free approach and the use of pattern recognition techniques. In particular this paper aims to improve the isolation performance of a Fuzzy Faults Classifier (FFC) previously proposed by the author by modifications of the fuzzification module and by the use of the Mahalanobis distance as metric for identifying the most...
In this paper the problem of depth control for unmanned underwater vehicles (UUV) is addressed. The utilization of such robotic vehicles has gained an increasing importance in many marine activities. As the importance and the complexity of the tasks performed by UUV increase, the need for automatic control schemes that guarantee high performances in motion and positioning has become a basic issue...
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