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In this paper, an Advanced Process Control system based on a two-layer linear Model Predictive Control strategy is proposed. The control system aims at optimizing a pusher type billets reheating furnace, located in an Italian steel plant. A first principles nonlinear model has been developed, in order to obtain estimations of billets temperature inside the furnace. A Linear Parameter-Varying model...
In this paper, a Model Predictive Control strategy is used to stabilize a temperature profile along a cement rotary kiln minimizing fuel specific consumption. The adopted system architecture is composed of two different optimization layers that interact in order to improve control performances and to meet possibly variable economic goals. The developed cooperation logic between the two layers that...
In this work an Advanced Process Control approach aimed to the control and the optimization of a cement rotary kiln is proposed. Model Predictive Control techniques have been adopted for the controller and a system architecture based on two optimization layers is proposed. A suitable design of each layer and their interaction policy allowed to improve control performances and to meet possibly variable...
In the present work the problem of the furnaces combustion optimization in petrochemical environment is presented. In particular, the paper is focused on the combustion efficiency that directly affects the operating costs of the plant. A preliminary study of the combustion process has been performed. A model of the system has been obtained by a black-box approach and limitations of the existing control...
Building automation systems (BAS) provide automatic control of indoor environments conditions. Their primary goal is to realize significant energy savings, to reduce costs and to increase users comfort. In this paper improvements of the control system of a Building and Home Automation system previously presented by the author are presented. The system integrates energy-consuming sources for heat and...
The scope of this work is the development of a mathematical model of a gasification process to be used for the prediction of the Syngas composition. The predictions are intended to support the gascromathographic measurements of the Syngas composition which are often not available due to periodic calibrations. This work represents the first step of broader project which scope is the development of...
Reduction of energy consumption in buildings is presently a key aspect with respect to the reduction of CO2 emissions which is increasing every day its importance. Energy saving can be achieved through an efficient management of heat and lighting devices and with the exploitation of renewable sources, like sun. In the present paper a Building and Home Automation system that integrates energy-consuming...
A new approach to fault detection and isolation that combines Principal Component Analysis (PCA), Clustering and Pattern Recognition is presented. Single, multiple faults which may cause errors in the sensor readings and/or in the actuators as well as process faults are considered. Determination of the number of principal components is based on the statistical test ANOVA following the approach proposed...
In the present paper the design and implementation of a Fault Diagnosis system for a compression's process integrated in an IGCC (Integrated Gasification & Combined Cycle) section of a refinement plant is described. Both single and multiple faults have been considered which may cause errors in the sensor readings and/or in the actuators used in the process. A multivariable data-driven approach,...
This paper summarizes the work done on the development of a module to interface a commercial mechanical scan sonar within an ROV control architecture and its integration with the other modules. The sonar module fulfill the scope of endowing the ROV with an open tool for the management of the sonar setting, adapting sonar performances to the specific mission requirement. In particular, this work is...
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