806 resultados para Autómatas -- Sistemas de control
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Pós-graduação em Engenharia Elétrica - FEIS
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The permanence of the corn grain in the field, after physiological maturity, is an important cause of crop losses, both in quantitative and qualitative aspect. By ceasing the supply of assimilated substances to grains, due to physiological maturity, the synthesis reactions are overcome by breathing, responsible for the maintenance of the living tissues of the grains, which occur at the expense of reserves accumulated during grain formation. In addition, there are losses from fungus and insects attack due to adverse weather conditions. Technological advances in recent decades, the develop of grain dryers with different capacities and efficiencies, has led to the early withdrawal of the product from the field, still damp, reducing spoilage. Moreover, the use of artificial drying systems can represent a significant cost to the producer. Thus, the present work aimed to study the effect of natural and artificial methods of drying on maize dry matter losses, for Botucatu, city of Sao Paulo state, Brazil. The cornfield production was conducted at the Experimental Farm “Lageado” and the experimental treatments were conducted in the Laboratory of Agricultural Products Processing, in the Department of Rural Engineering, where the drying systems were tested. The treatments were: shade (control), artificial with heated air, artificial unheated air and, drying attached to the plant. The following analyzes for quality monitoring were performed: weight test, thousand-grain weight test and, grain dry weight. The results showed significant loss in quality of drying beans attached to the plant, by assessing the dry matter loss and by the variation of the grain weight. The weight test showed that the worst performance was the artificial with heated air treatment. We used mathematical modeling techniques to describe the dry matter loss and adjusted the mathematical model to the experimental data analyzed. From the experimental data obtained during drying the grain attached to the plant, it was still possible to fit a regression model that estimates the loss of grain dry matter under the climate from Botucatu during the 2011/2012 harvest period.
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This paper presents the application and use of a methodology based on fuzzy theory and simulates its use in intelligent control of a hybrid system for generating electricity, using solar energy, photovoltaic and wind. When using a fuzzy control system, it reached the point of maximum generation of energy, thus shifting all energy generated from the alternative sources-solar photovoltaic and wind, cargo and / or batteries when its use not immediately. The model uses three variables used for entry, which are: wind speed, solar radiation and loading the bank of batteries. For output variable has to choose which of the batteries of the battery bank is charged. For the simulations of this work is used MATLAB software. In this environment mathematical computational are analyzed and simulated all mathematical modeling, rules and other variables in the system described fuzzy. This model can be used in a system of control of hybrid systems for generating energy, providing the best use of energy sources, sun and wind, so we can extract the maximum energy possible these alternative sources without any prejudice to the environment.
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Pós-graduação em Engenharia Mecânica - FEIS
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The education designed and planned in a clear and objective manner is of paramount importance for universities to prepare competent professionals for the labor market, and above all can serve the population with an efficient work. Specifically, in relation to engineering, conducting classes in the laboratories it is very important for the application of theory and development of the practical part of the student. The planning and preparation of laboratories, as well as laboratory equipment and activities should be developed in a succinct and clear way, showing to students how to apply in practice what has been learned in theory and often shows them why and where it can be used when they become engineers. This work uses the MATLAB together with the System Identification Toolbox and Arduino for the identification of linear systems in Linear Control Lab. MATLAB is a widely used program in the engineering area for numerical computation, signal processing, graphing, system identification, among other functions. Thus the introduction to MATLAB and consequently the identification of systems using the System Identification Toolbox becomes relevant in the formation of students to thereafter when necessary to identify a system the base and the concept has been seen. For this procedure the open source platform Arduino was used as a data acquisition board being the same also introduced to the student, offering them a range of software and hardware for learning, giving you every day more luggage to their training
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The education designed and planned in a clear and objective manner is of paramount importance for universities to prepare competent professionals for the labor market, and above all can serve the population with an efficient work. Specifically, in relation to engineering, conducting classes in the laboratories it is very important for the application of theory and development of the practical part of the student. The planning and preparation of laboratories, as well as laboratory equipment and activities should be developed in a succinct and clear way, showing to students how to apply in practice what has been learned in theory and often shows them why and where it can be used when they become engineers. This work uses the MATLAB together with the System Identification Toolbox and Arduino for the identification of linear systems in Linear Control Lab. MATLAB is a widely used program in the engineering area for numerical computation, signal processing, graphing, system identification, among other functions. Thus the introduction to MATLAB and consequently the identification of systems using the System Identification Toolbox becomes relevant in the formation of students to thereafter when necessary to identify a system the base and the concept has been seen. For this procedure the open source platform Arduino was used as a data acquisition board being the same also introduced to the student, offering them a range of software and hardware for learning, giving you every day more luggage to their training
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A systematic approach to model nonlinear systems using norm-bounded linear differential inclusions (NLDIs) is proposed in this paper. The resulting NLDI model is suitable for the application of linear control design techniques and, therefore, it is possible to fulfill certain specifications for the underlying nonlinear system, within an operating region of interest in the state-space, using a linear controller designed for this NLDI model. Hence, a procedure to design a dynamic output feedback controller for the NLDI model is also proposed in this paper. One of the main contributions of the proposed modeling and control approach is the use of the mean-value theorem to represent the nonlinear system by a linear parameter-varying model, which is then mapped into a polytopic linear differential inclusion (PLDI) within the region of interest. To avoid the combinatorial problem that is inherent of polytopic models for medium- and large-sized systems, the PLDI is transformed into an NLDI, and the whole process is carried out ensuring that all trajectories of the underlying nonlinear system are also trajectories of the resulting NLDI within the operating region of interest. Furthermore, it is also possible to choose a particular structure for the NLDI parameters to reduce the conservatism in the representation of the nonlinear system by the NLDI model, and this feature is also one important contribution of this paper. Once the NLDI representation of the nonlinear system is obtained, the paper proposes the application of a linear control design method to this representation. The design is based on quadratic Lyapunov functions and formulated as search problem over a set of bilinear matrix inequalities (BMIs), which is solved using a two-step separation procedure that maps the BMIs into a set of corresponding linear matrix inequalities. Two numerical examples are given to demonstrate the effectiveness of the proposed approach.
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Programa de doctorado: Tecnologías de las telecomunicaciones.
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[EN]Octopus vulgaris on-growing in floating cages has shown promising results. Nevertheless, some aspects of the culture system need to be evaluated to warrantee its profitability. In the present work individual and group rearing, in PVC net compartments and floating cages respectively, are compared under two dietary treatments. One diet is composed by bogue, supplied as ?discarded? species from local fish farms, and the other is based on a 40-60% discarded bogue-crab Portunus pelagicus. Besides, the effect of initial size is also evaluated. All octopuses were PIT-tagged and the experiment lasted 2 months. Absolute growth rate (AGR, g./day) and mortality (%) were calculated. Control diet generated higher growth rates and lower mortality which suggests different crab requirements at higher rearing temperatures. High mortality recorded in individual rearing could be related with high initial rearing density and temperatures.
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Programa de doctorado en oceanografía
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Programa de doctorado: Ingeniería de Telecomunicación Avanzada
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[ES] La realización de los nuevos estudios de gestión de la demanda requiere nuevas aproximaciones en las que la red eléctrica se analiza como un sistema complejo. Estos están formados por un gran número de entidades fuertemente enlazadas entre sí. Se afronta el reto de añadir la capacidad de interacción sobre una simulación de sistemas complejos en tiempo de ejecución. Pero, ¿Cómo abordar la representación de un sistema complejo de tal manera que sea fácilmente gestionable por una persona?, o ¿Cómo ofrecer una manera sencilla de alterar la simulación?. Con esta idea nace Simulation Gateway Interface, un framework que permite hacer accesibles las simulaciones a través de una interfaz gráfica.
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[ES]El diseño de entornos de simulación aplicados al estudio, aprendizaje y adquisición de competencias es un campo de trabajo activo en todos los niveles educativos. Los sucesivos avances experimentados por las Tecnologías de la Información y Comunicaciones (TIC), las plataformas que las sustentan y los estudios e investigaciones llevadas a cabo en el campo de la Interacción Persona Ordenador (Human Computer Interaction, HCI), soportan y hacen posible la realización de herramientas como la que aquí proponemos. Se trata de un entorno de simulación que ha sido diseñado con dos grandes objetivos: fomentar el aprendizaje activo y mejorar el rendimiento académico, como los más destacados. Para ello hemos elegido la Realimentación Acústica en los sistemas de refuerzo sonoro, fenómeno que exige un estudio detallado de los parámetros que lo controlan, que presentado de la forma que aquí proponemos permitirá un mejor aprovechamiento del escaso tiempo disponible para la experimentación en situaciones reales.
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Programa de doctorado: Tecnología de la Información y sus aplicaciones. La fecha de publicación es la fecha de lectura
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El tema del control del aparato a través del cual actúa el Estado, también llamado administración estatal, adquiere gran relevancia debido a la evolución del concepto del control, que ya no se restringe a la simple detección de errores y corrección de desviaciones del pasado, sino que aparece como un valioso auxiliar de la toma de decisiones capaz de reorientar acciones y metas hacia lo que es mejor para las organizaciones y sus integrantes. En tal sentido, verificar la exactitud con que se cumplen las decisiones de gobierno, evitar desviaciones, redefinir metas a alcanzar y cursos de acción a transitar, hacen del control una función importante que es necesario estudiar, comprender, explicitar. El trabajo indaga en los sistemas y modalidades del control público en la Nación, precisando las características de la administración estatal y de los órganos encargados de su control.