6 resultados para advanced control technology
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
This dissertation addresses the electronic surveillance theme in the banking context. The research that originated it, which was held in an organization called for the fiction name Banco Total, started from the following driving question: How do workers at a bank perceive electronic surveillance at their process of work? The research s main objective was to comprehend how workers perceive electronic surveillance at their process of work. The study adopted an interdisciplinary perspective, having Management as the original field, establishing a dialogue with others disciplines, like Philosophy and Sociology. About its methodology, it s a qualitative research that addressed its object in oral (interviews with live history elements) way. . Ten individuals were interviewed. The analytical process utilized the hermeneutical-dialectics technique.. From the analyses (hermeneutics) of the data, the following themes have emerged: (i) Acquiescence ; (ii) Monitoring; (iii) Time and Motion; (iv) Fear; (v) Interdiction; and (vi) Resistance . From the discussion (dialectic) of the results, this work presents three synthetic propositions that culminate in the following dimensions (i) control; (ii) acquiescence; (iii) corporative totalitarianism. It can be concluded that electronic surveillance is one mechanism of control emerged from the apply of technology at Total Bank; that information technology has been improving the control mechanisms of management theories; and that the imbrications between management and material technology control mechanisms at a context where there is acquiescence by workers contribute for the emergency of corporative totalitarianism components
Resumo:
A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH é um processo de grande importância na indústria petroquímica, onde se deseja manter constante o nível de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho estático e dinâmica nãolineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um responsável pela identificação e outro pelo o cálculo do sinal de controle. Para realizar a identificação neural é utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propagação Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e saída da planta é iniciado o treinamento offline da rede. Dessa forma, os pesos sinápticos são ajustados e a rede está apta para representar o sistema com a máxima precisão possível. O modelo neural gerado é usado para predizer as saídas futuras do sistema, com isso o otimizador calcula uma série de ações de controle, através da minimização de uma função objetivo quadrática, fazendo com que a saída do processo siga um sinal de referência desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identificação, via redes neurais e o segundo é responsável pelo controle do processo. As ferramentas aqui implementadas e aplicadas são genéricas, ambas permitem a aplicação da estrutura de controle a qualquer novo processo
Resumo:
This work aims to analyze social and educational actions at Pastoral da Criança, using education as a survival tool. This was done at Parque dos Coqueiros, a neighborhood in Natal, Rio Grande do Norte. The methodology for data collection was composed of comprehensive interview (Jean Kaufmann), participant observation (Robert Bogdan) and documental analysis (Le Goff); all os which bring reflections related to concepts such as strategies, tatics and know how (Michel de Certeau), configuration (Nobert Elias), and control technology (Michel de Foucault), care ethics (Leonardo Boff) and etno-theories (Natália Ramos). Pastoral da Criança is a social action organism that belongs to the National Conference of Bishops of Brazil, originated at Florestópolis, Londrina (Paraná), in the year of 1983. These actions have been an expression of a new logic of actions of the Catholic Church. It values the participation of laymen in the activities of the Pastoral. Thus, the parish is seen as a nucleus that irradiates the Church s Social Doctrine. At Rio Grande do Norte this institution has guided poverty stricken families on issues related to children s health as well as working with laymen for volunteer work. This is considered devotion, that is firmed by an individual and group mystique. The social and educational actions are done in three axes: 1) Monthly home visits, where there is mother-child support; 2) Life Celebration Day, where they weigh children and promote nutritional surveillance; 3) Meeting for Evaluation and Reflection, that aims to articulate community leaders to think about problems attached to the social actions they realize. This action tripod , as it is called by the Pastoral Agents are the types of actions that fundament survival education for poor children ranging from 0 to 6 years old. The families learn to deal with prevention, the essential, the alternative and probabilities of survival tactics due to exclusion matters or even social extermination. The Pastoral da Criança aims to recover childhood emotions in poverty stricken areas. It also has influence in the diminishing of malnutrition and mother and child mortality. This education for survival is the base on the art of teaching and learning of poverty stricken children. It is a social educational action, non assistencialist, but considered a shy action in order to promote mobilization of the communities that are accompanied for the emancipation and change of social conditions
Resumo:
Slugging is a well-known slugging phenomenon in multiphase flow, which may cause problems such as vibration in pipeline and high liquid level in the separator. It can be classified according to the place of its occurrence. The most severe, known as slugging in the riser, occurs in the vertical pipe which feeds the platform. Also known as severe slugging, it is capable of causing severe pressure fluctuations in the flow of the process, excessive vibration, flooding in separator tanks, limited production, nonscheduled stop of production, among other negative aspects that motivated the production of this work . A feasible solution to deal with this problem would be to design an effective method for the removal or reduction of the system, a controller. According to the literature, a conventional PID controller did not produce good results due to the high degree of nonlinearity of the process, fueling the development of advanced control techniques. Among these, the model predictive controller (MPC), where the control action results from the solution of an optimization problem, it is robust, can incorporate physical and /or security constraints. The objective of this work is to apply a non-conventional non-linear model predictive control technique to severe slugging, where the amount of liquid mass in the riser is controlled by the production valve and, indirectly, the oscillation of flow and pressure is suppressed, while looking for environmental and economic benefits. The proposed strategy is based on the use of the model linear approximations and repeatedly solving of a quadratic optimization problem, providing solutions that improve at each iteration. In the event where the convergence of this algorithm is satisfied, the predicted values of the process variables are the same as to those obtained by the original nonlinear model, ensuring that the constraints are satisfied for them along the prediction horizon. A mathematical model recently published in the literature, capable of representing characteristics of severe slugging in a real oil well, is used both for simulation and for the project of the proposed controller, whose performance is compared to a linear MPC
Resumo:
This dissertation addresses the electronic surveillance theme in the banking context. The research that originated it, which was held in an organization called for the fiction name Banco Total, started from the following driving question: How do workers at a bank perceive electronic surveillance at their process of work? The research s main objective was to comprehend how workers perceive electronic surveillance at their process of work. The study adopted an interdisciplinary perspective, having Management as the original field, establishing a dialogue with others disciplines, like Philosophy and Sociology. About its methodology, it s a qualitative research that addressed its object in oral (interviews with live history elements) way. . Ten individuals were interviewed. The analytical process utilized the hermeneutical-dialectics technique.. From the analyses (hermeneutics) of the data, the following themes have emerged: (i) Acquiescence ; (ii) Monitoring; (iii) Time and Motion; (iv) Fear; (v) Interdiction; and (vi) Resistance . From the discussion (dialectic) of the results, this work presents three synthetic propositions that culminate in the following dimensions (i) control; (ii) acquiescence; (iii) corporative totalitarianism. It can be concluded that electronic surveillance is one mechanism of control emerged from the apply of technology at Total Bank; that information technology has been improving the control mechanisms of management theories; and that the imbrications between management and material technology control mechanisms at a context where there is acquiescence by workers contribute for the emergency of corporative totalitarianism components
Resumo:
A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH é um processo de grande importância na indústria petroquímica, onde se deseja manter constante o nível de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho estático e dinâmica nãolineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um responsável pela identificação e outro pelo o cálculo do sinal de controle. Para realizar a identificação neural é utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propagação Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e saída da planta é iniciado o treinamento offline da rede. Dessa forma, os pesos sinápticos são ajustados e a rede está apta para representar o sistema com a máxima precisão possível. O modelo neural gerado é usado para predizer as saídas futuras do sistema, com isso o otimizador calcula uma série de ações de controle, através da minimização de uma função objetivo quadrática, fazendo com que a saída do processo siga um sinal de referência desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identificação, via redes neurais e o segundo é responsável pelo controle do processo. As ferramentas aqui implementadas e aplicadas são genéricas, ambas permitem a aplicação da estrutura de controle a qualquer novo processo