1,721,016 research outputs found
Human endocrine system modeling based on ontologies
No full textAbstract: This article presents a novel use of an ontological approach of a rigorous generic model of the human endocrine system. It is based on an existing ontology specically developed for chemical engineering design, named OntoCAPE. It provides most of the necessary concepts for implementing compartmental models of the human endocrine system, such as the UVa/Padova model1, accepted by the FDA2. We named this extended ontology Bio OntoCape which is connected with MatLab to perform dynamic simulation with the constructed model to predict the impact of the external stimuli such as meals intake and insulin dosage. This mathematical model was chosen because is enough versatile to represent healthy, prediabetic and diabetic persons. The complete system is thought to be helpful for participants from dierent disciplines, such as, endocrinologists, nutritionists, nurses, engineers and patients among others. In addition, it is envisioned that this development can be extended to congure an e-Health platform for diabetic patients treatment in Argentina. This will help to remotely monitoring patients reducing the personal attendance at hospitals as well as medical budgets.Fil: Viale, Pamela. Universidad Católica Argentina. Facultad de Química e Ingeniería "Fray Rogelio Bacon"; ArgentinaFil: Bora, Juan José. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Benegui, Maximiliano. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Basualdo, Marta. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Viale, Pamela. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Basualdo, Marta. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentin
Esquemas de Representación Ontológica para la Integración de Datos en los Sistemas de Información de Planta
Get PDFLa complejidad de los procesos productivos sumada a la falta de integración y consistencia en los datos hacen que los Sistemas de Información de Planta (SIP) sean sumamente dependientes de los expertos del proceso. Por este contexto, ha surgido un interés en sistemas de integración de datos basados en conocimiento. A diferencia de otros autores, que proponen soluciones de mediación semántica, en este trabajo se búsca explotar las capacidades deductivas del razonador siguiendo un enfoque de integración dirigido por el conocimiento (knowledge-driven approach). Conceptos propios de la ingeniería de procesos han sido implementados con éxito haciendo uso de los estándares y tecnologías propuestas recientemente por World Wide Web Consortium (W3C) en la construcción de SemanticWeb. Con el objeto de demostrar la potencialidad y el alcance de los esquemas de representación propuestos, se realizaron pruebas de razonamiento sobre un ejemplo de aplicación industrial.Fil: Roda, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Musulin, Estanislao. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentin
A systematic approach for the design of optimal monitoring systems for large scale processes
Get PDFIn this work a new concept for designing an efficient monitoring system for large scale chemical plants is presented. It is considered that the monitoring problem must be solved integrated with the optimal sensor location together with the plant-wide control structure design. The solution of these problems involves deciding among a great number of possible combinations between the input-output variables. It is done supported by the application of genetic algorithm (GA). The key new idea is to propose an adequate objective function, within the GA, that takes into account a fault detectability index based on combined statistics. Additionally, by using a specific penalty function, it is possible to drive the search to the less expensive structure, that is by using the lowest number of sensors. The well-known benchmark case of the Tennessee Eastman plant (TE) is chosen for testing this methodology and for discussion purposes. Since several authors have studied the TE case, the results obtained here can be rigorously compared with those already published. All of the previous works considered that every TE output variables were available for the abnormal events detection for designing the monitoring system.Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario; ArgentinaFil: Basualdo, Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario; Argentin
Improvements on Multiloop Control Design via Net Load Evaluation
Get PDFThe plant-wide control problem is a very important topic in process control. A particular control structure design will define (restrict) the future operability degree for the plant under study. Classical control policies (decentralized or full) are not always the best solution. In this context a systematic and generalized strategy to solve the multivariable plant-wide control problem is proposed here. The methodology called minimum square deviation (MSD) considers several points such as the optimal controlled variables (CVs) selection based on the sum of square deviation (SSD) and controller structure design supported by net load evaluation (NLE) analysis. The overall problem is combinatorial and is solved by accounting several steady-state tools and new indexes minimizing the heuristic load. Four well-known case studies are presented and other approaches taken from the literature are accounted for the sake of comparison. A robust stability test, mu-tools, is also performed for concluding about the control policies.Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
An approach to improve the performance of adaptive predictive control systems: theory, simulations and experiments
Get PDFIn this paper an approach to improve the overall performance of indirect adaptive control systems tailored for non-linear stable plants is presented. The approach involves a commutation of a linear time-varying robustness filter in the feedback path of the control loop in synchronization with an adaptive controller. The algorithm is framed in the celebrated IMC structure for predictive control systems. It can automatically suit to structural changes in the system as order and dead-time, and can deal with plants with zero dynamics. The convergence and stability of the system is analysed in details. It is shown through numeric simulations and experimentation on a heat exchanger with cooling system, that undesired transients due to abrupt and significative changes in the dynamics can be efficiently damped down by the developed control algorithm, achieving a high-quality performance in steady state.Fil: Jordan, Mario Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur; ArgentinaFil: Basualdo, Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaFil: Zumoffen, David Alejandro Ramon. Universidad Tecnológica Nacional; Argentin
Low cost monitoring system for safe production of hydrogen from bio-ethanol
Get PDFIn this paper a monitoring system is developed to guarantee safety operational conditions for the hydrogen production from bioethanol. The key idea is to detect the most critical faults with the minimum number of sensors. It can be done through a fault detectability index (FDI) which drives to the optimal measurements selection for building a proper monitoring system. The FDI calculation is based on principal component analysis (PCA) model with combined statistics. It takes into account those sensors already selected for control purposes and penalizes the use of new measurement devices. The overall methodology is tested for fifteen failures such as the catalyzer deterioration in the reforming reactor, faults at the fuel cell, sensors and actuators. Hence, the investment cost can be reduced drastically without losing quality of fault detection. The monitoring system with the selected sensors by the FDI performs better than using all the available plant measurements.Fil: Nieto Degliuomini, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Tecnológica Nacional. Regional Rosario; ArgentinaFil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Tecnológica Nacional. Regional Rosario; Argentin
Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
No full textThe plantwide control (PWC) complexity increases for highly-integrated and large-scale chemical processes. This work presents a novel framework for decentralized PWC which includes: (i) the selection of the controlled variables (CVs), (ii) the pairing between the manipulated variables (MVs) and the CVs, and (iii) the determination of the controller algorithms as well as their tuning parameters for closed-loop operation. The proposal is to solve the steps (i) and (ii) simultaneously, driving the selection of the most effective PWC structure from a Pareto optimal set. Here, algorithms based only on steady-state information are considered to give a systematic procedure which tries to minimize the use of heuristic considerations. Genetic algorithms (GA) and the Hungarian algorithm (HA) are used here because they provide a good trade-off between computational effort and acceptable results. The proposed methodology is completely tested in a pulp mill benchmark and compared with a previous one.Fil: Luppi, Patricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Zumoffen, David Alejandro Ramon. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; ArgentinaFil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentin
Energy management of a hybrid system based on wind-solar power sources and bioethanol
Get PDFThis work presents an Energy Management Strategy (EMS) for a sustainable hybrid system. It is based on wind-solar energy and bioethanol. The bioethanol reformer produces hydrogen with sufficient quality to feed a PEM fuel cell system, which can supply the load together with the wind-solar sources. The new an concept consists on having multiple power sources to supply the load where the necessary heating for the bioethanol reforming reaction can be provided by the the wind-solar sources to enhance the efficiency of the hydrogen production. An optimal sizing methodology based on genetic algorithms to design this stand- alone system is proposed. The developed model allows testing the potentiality of the proposed EMS under different scenarios of load demands using historical climate data over a period of one year. Then, the system is tested using several load scenarios to validate the proposed methodology.Fil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Fil: Nieto Degliuomini, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Extended adaptive predictive controller with robust filter to enhance blood glucose regulation in type I diabetic subjects
Get PDFIn this paper, an improved adaptive predictive control with robust filter is developed to be applied in anartificial pancreas. Several problems inherent to endocrine systems for diabetic persons have to be tackled such as nonlinearities, long time delays or daily variations of parameters. Three Finite Impulse Response models for insulin input and the same for meal intake (perturbations) corresponding to normal, hyper-hypoglycaemia levels to implement three zones control are taken into account. The glycaemia reference trajectory is shaped from a healthy person response. A variable weighting factor in the cost function is included to prevent dangerous glycaemia excursions out of the allowed limits. Additionally, a noisy blood glucose subcutaneous sensor model is used. This control strategy is tested on 30 virtual subjects from the UVa/Padova Simulator. Simultaneous meals and physiological disturbances are taken into accountand the main conclusions are drawn from Control Variability Grid Analysis.Fil: Campetelli, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Lombarte, Mercedes. Universidad Nacional de Rosario; ArgentinaFil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Rigalli, Alfredo. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Laboratorio de Biologia Ósea; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
Evaluación de factibilidad de mejoras empleando control predictivo basado en modelos en reactores de biodiésel
Get PDFLa producción de biocombustibles, en especial de biodiesel, es un proceso costoso y que requiere especial cuidado en el control de cada una de las etapas de obtención del mismo. Es una práctica habitual el uso de controladores convencionales como el PID, sin embargo los sistemas comerciales hoy ofrecen la oportunidad de incorporar otros controladores que mejoran notablemente el desempeño del comportamiento a lazo cerrado del sistema. En este contexto, se presentarán los ensayos preliminares realizados con diferentes estructuras de control sobre el reactor tales como feedforward, cascada, compensador de tiempo muerto (compensador Smith) y con particular énfasis, control predictivo basado en modelos (Model Based Predictive Control, MPC). La primera etapa requiere disponer del modelo dinámico de un reactor de biodiésel que se implemente para simular los diferentes escenarios en que deberá funcionar. El concepto es que el mismo sea capaz de adaptarse a las condiciones operativas específicas de plantas con diferente capacidad operativa. Es importante explotar la capacidad de simulación que poseen los controladores comerciales para disponer de una herramienta eficiente para la toma de decisiones. Se mostrarán los resultados alcanzados empleando plataformas académicas de diseño y su posterior configuración en el controlador comercial PCS7 de Siemens.Fil: Gamalero, Marcelo. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; Argentina;Fil: Luppi, Patricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Conicet - Rosario. Instituto Rosario de Investigaciones En Ciencias de la Educación; Argentina; Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; Argentina;Fil: Basualdo, Marta Susana. Universidad Tecnológica Nacional. Regional Rosario; Argentina; Consejo Nacional de Invest.cientif.y Tecnicas. Centro Cientifico Tecnol.conicet - Rosario. Centro Int.franco Arg.d/cs D/l/inf.y Sistem.
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