912 resultados para Controlador inteligente
Resumo:
The continuous gas lift method is the main artificial lifting method used in the oil industry for submarine wells, due to its robustness and the large range of flow rate that the well might operate. Nowadays, there is a huge amount of wells producing under this mechanism. This method of elevation has a slow dynamics due to the transients and a correlation between the injected gas rate and the of produced oil rate. Electronics controllers have been used to adjust many parameters of the oil wells and also to improve the efficiency of the gas lift injection system. This paper presents a intelligent control system applied to continuous gas injection in wells, based in production s rules, that has the target of keeping the wells producing during the maximum period of time, in its best operational condition, and doing automatically all necessary adjustments when occurs some disturbance in the system. The author also describes the application of the intelligent control system as a tool to control the flow pressure in the botton of the well (Pwf). In this case, the control system actuates in the surface control valve
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Este trabalho avalia o desempenho de um controlador fuzzy (tipo Takagi-Sugeno-Kang) quando, utilizando tecnologia sem fio para conectar as entradas e a saída do controlador aos sensores/atuadores, sofre perda das informações destes canais, resultado de perdas de pacotes. Tipicamente são utilizados controladores PID nas malhas de controle. Assim, o estudo realizado compara os resultados obtidos com os controladores fuzzy com os resultados dos controladores PID. Além disso, o trabalho visa estudar o comportamento deste controlador implementado em uma arquitetura microprocessada utilizando números inteiros nos cálculos, interpolação com segmentos de reta para as funções de pertinência da entrada e singletons nas funções de pertinência da saída. Para esse estudo foi utilizado, num ambiente Matlab/Simulink, um controlador fuzzy e o aplicativo True Time para simular o ambiente sem fio. Desenvolvido pelo Departamento de Controle Automático da Universidade de Lund, o True Time é baseado no Matlab/Simulink e fornece todas as ferramentas necessárias para a criação de um ambiente de rede (com e sem fio) virtual. Dado o paradigma de que quanto maior for a utilização do canal, maior a degradação do mesmo, é avaliado o comportamento do sistema de controle e uma proposta para diminuir o impacto da perda de pacotes no controle do sistema, bem como o impacto da variação das características internas da planta e da arquitetura utilizada na rede. Inicialmente são realizados ensaios utilizando-se o controlador fuzzy virtual (Simulink) e, posteriormente, o controlador implementado com dsPIC. Ao final, é apresentado um resumo desses ensaios e a comprovação dos bons resultados obtidos com um controlador fuzzy numa malha de controle utilizando uma rede na entrada e na saída do controlador.
Resumo:
This work presents an analysis of the control law based on an indirect hybrid scheme using neural network, initially proposed for O. Adetona, S. Sathanathan and L. H. Keel. Implementations of this control law, for a level plant of second order, was resulted an oscillatory behavior, even if the neural identifier has converged. Such results had motivated the investigation of the applicability of that law. Starting from that, had been made stability mathematical analysis and several implementations, with simulated plants and with real plants, for analyze the problem. The analysis has been showed the law was designed being despised some components of dynamic of the plant to be controlled. Thus, for plants that these components have a significant influence in its dynamic, the law tends to fail
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A hierarchical fuzzy control scheme is applied to improve vibration suppression by using an electro-mechanical system based on the lever principle. The hierarchical intelligent controller consists of a hierarchical fuzzy supervisor, one fuzzy controller and one robust controller. The supervisor combines controllers output signal to generate the control signal that will be applied on the plant. The objective is to improve the performance of the electromechanical system, considering that the supervisor could take advantage of the different techniques based controllers. The robust controller design is based on a linear mathematical model. Genetic algorithms are used on the fuzzy controller and the supervisor tuning, which are based on non-linear mathematical model. In order to attest the efficiency of the hierarchical fuzzy control scheme, digital simulations were employed. Some comparisons involving the optimized hierarchical controller and the non-optimized hierarchical controller will be made to prove the efficiency of the genetic algorithms and the advantages of its use
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The present work shows the development and construction of a robot manipulator with two rotary joints and two degrees of freedom, driven by three-phase induction motors. The positions of the arm and base are made, for comparison, by a fuzzy controller and a PID controller implemented in LabVIEW® programming environment. The robot manipulator moves in an area equivalent to a quarter of a sphere. Experimental results have shown that the fuzzy controller has superior performance to PID controller when tracking single and multiple step trajectories, for the cases of load and no load
Resumo:
Electro-hydraulic servo-systems are widely employed in industrial applications such as robotic manipulators, active suspensions, precision machine tools and aerospace systems. They provide many advantages over electric motors, including high force to weight ratio, fast response time and compact size. However, precise control of electro-hydraulic systems, due to their inherent nonlinear characteristics, cannot be easily obtained with conventional linear controllers. Most flow control valves can also exhibit some hard nonlinearities such as deadzone due to valve spool overlap on the passage´s orifice of the fluid. This work describes the development of a nonlinear controller based on the feedback linearization method and including a fuzzy compensation scheme for an electro-hydraulic actuated system with unknown dead-band. Numerical results are presented in order to demonstrate the control system performance
Resumo:
This work describes the development of a nonlinear control strategy for an electro-hydraulic actuated system. The system to be controlled is represented by a third order ordinary differential equation subject to a dead-zone input. The control strategy is based on a nonlinear control scheme, combined with an artificial intelligence algorithm, namely, the method of feedback linearization and an artificial neural network. It is shown that, when such a hard nonlinearity and modeling inaccuracies are considered, the nonlinear technique alone is not enough to ensure a good performance of the controller. Therefore, a compensation strategy based on artificial neural networks, which have been notoriously used in systems that require the simulation of the process of human inference, is used. The multilayer perceptron network and the radial basis functions network as well are adopted and mathematically implemented within the control law. On this basis, the compensation ability considering both networks is compared. Furthermore, the application of new intelligent control strategies for nonlinear and uncertain mechanical systems are proposed, showing that the combination of a nonlinear control methodology and artificial neural networks improves the overall control system performance. Numerical results are presented to demonstrate the efficacy of the proposed control system
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Smart structures and systems have the main purpose to mimic living organisms, which are essentially characterized by an autoregulatory behavior. Therefore, this kind of structure has adaptive characteristics with stimulus-response mechanisms. The term adaptive structure has been used to identify structural systems that are capable of changing their geometry or physical properties with the purpose of performing a specific task. In this work, a sliding mode controller with fuzzy inference is applied for active vibration control in an SMA two-bar truss. In order to obtain a simpler controller, a polynomial model is used in the control law, while a more sophisticated version, which presents close agreement with experimental data, is applied to describe the SMA behavior of the structural elements. This system has a rich dynamic response and can easily reach a chaotic behavior even at moderate loads and frequencies. Therefore, this approach has the advantage of not only obtaining a simpler control law, but also allows its robustness be evidenced. Numerical simulations are carried out in order to demonstrate the control system performance.
Resumo:
Smart structures and systems have the main purpose to mimic living organisms, which are essentially characterized by an autoregulatory behavior. Therefore, this kind of structure has adaptive characteristics with stimulus-response mechanisms. The term adaptive structure has been used to identify structural systems that are capable of changing their geometry or physical properties with the purpose of performing a specific task. In this work, a sliding mode controller with fuzzy inference is applied for active vibration control in an SMA two-bar truss. In order to obtain a simpler controller, a polynomial model is used in the control law, while a more sophisticated version, which presents close agreement with experimental data, is applied to describe the SMA behavior of the structural elements. This system has a rich dynamic response and can easily reach a chaotic behavior even at moderate loads and frequencies. Therefore, this approach has the advantage of not only obtaining a simpler control law, but also allows its robustness be evidenced. Numerical simulations are carried out in order to demonstrate the control system performance.
Resumo:
Resumen: Michael Behe y William Dembski son dos de los líderes de la Teoría del Diseño Inteligente, una propuesta surgida como respuesta a los modelos evolucionistas y anti-finalistas prevalentes en ciertos ambientes académicos e intelectuales, especialmente del mundo anglosajón. Las especulaciones de Behe descansan en el concepto de “sistema de complejidad irreductible”, entendido como un conjunto ordenado de partes cuya funcionalidad depende estrictamente de su indemnidad estructural, y que su origen resulta, por tanto, refractario a explicaciones gradualistas. Estos sistemas, según Behe, están presentes en los vivientes, lo que permitiría inferir que ellos no son el producto de mecanismos ciegos y azarosos, sino el resultado de un diseño. Dembski, por su parte, ha abordado el problema desde una perspectiva más cuantitativa, desarrollando un algoritmo probabilístico conocido como “filtro explicatorio”, que permitiría, según el autor, inferir científicamente la presencia de un diseño, tanto en entidades artificiales como naturales. Trascendiendo las descalificaciones del neodarwinismo, examinamos la propuesta de estos autores desde los fundamentos filosóficos de la escuela tomista. A nuestro parecer, hay en el trabajo de estos autores algunas intuiciones valiosas, las que sin embargo suelen pasar desapercibidas por la escasa formalidad en que vienen presentadas, y por la aproximación eminentemente mecanicista y artefactual con que ambos enfrentan la cuestión. Es precisamente a la explicitación de tales intuiciones a las que se dirige el artículo.
Resumo:
Con el objetivo de evaluar la efectividad del hongo paecilomyces lilacinus como controlador biológico de embriones de meloidogyne exigua y compararlo con el control químico de carbufuran en vivero de café (coffea arábica l.), se realizó entre los meses de abril a diciembre de 1986 en la estación experimental jardín botánico de masatepe, departamento de Carazo, la evaluación de seis tratamiento. El experimento se efectuó en una parcela de 37m2, con cinco repeticiones de un diseño experimental en bloques completo al azar. Se evaluaron las cuatro plantas centrales de cada parcela, en total 120 plantas. El manejo del experimento se basó en la técnica de reaislamiento, reproducción y aplicación de paecilomyces lilacinus del Dr. Parviz jalata (18) y siguiendo las técnica del cultivo del café utilizada en la lV región. Los tratamiento comparados; 3 dosis de arroz cubiertos de colonias de paecilomyces lilacinus; 15 gramos, 10gramos y 5 gramos, respectivamente, furadan 5G a la dosis de 5 gramos y todos los anteriores, incluyendo el testigo relativo con una aplicación de 1000 larvas de meloidogyne exigua por cada planta y un testigo absoluto; todos en bolsas de polietileno con capacidad de 2 kilos de suelo. Los tratamientos que presentaron mejor control de la población nematologica son paecilomyces lilacinus a razón de 5g. y furadan 5G a razón de 5g. y el testigo absoluto. En condiciones de laboratorio se comprobó la efectividad del hongo, donde la agresividad para destruir embriones de meloidogyne exigua fue directamente proporcional a la mayor concentración de esporas del hongo (1 *10 esporas/ml) y al tiempo de exposición a este
Resumo:
[ES] A pesar de que existe un amplio reconocimiento de que los territorios necesitan desarrollar estrategias de innovación para la construcción de ventajas competitivas, hasta ahora no han sido explicitados el contenido y las particularidades del término estrategia aplicado al ámbito territorial, por lo que se ha utilizado frecuentemente con significados ambiguos.
Resumo:
Castellano: A lo largo de este proyecto se ha desarrollado un sistema de bajo coste para la tomade electrocardiogramas y posterior visualización de los mismos en un dispositivo Android. Además se ha creado un módulo inteligente capaz de realizar un diagnóstico de manera automática y razonada sobre los datos recogidos. El proyecto se ha realizado principalmente sobre tecnologías abiertas: Arduino como componente central del sistema electrónico, Android para visualizar datos en una plataforma móvil y CLIPS como motor sobre el cual se ha desarrollado el sistema experto que realiza el diagnóstico.
Resumo:
En los trabajos expuestos en esta memoria de tesis, hemos analizado elefecto que tienen sobre la capacidad de aprendizaje de diferentes algoritmosde clasificación los cambios en la distribución de clases, teniendo encuenta para ello, diferentes métodos de remuestreo de datos.En concreto se ha analizado este efecto en el conocido algoritmo deconstrucción de árboles de clasificación propuesto por Quinlan, el algoritmoC4.5, y en el algoritmo de construcción de árboles consolidados, elalgoritmo CTC, propuesto por el grupo de investigación ALDAPA de laUniversidad del País Vasco que, basado en el mismo C4.5, obtiene un árbol declasificación pero basado en un conjunto de muestras.Así mismo, planteamos cómo encontrar la distribución de clases más adecuadapara un algoritmo de clasificación y método de remuestreo concretos.