Controlador preditivo não linear aplicado ao controle de golfadas em processos de produção de petróleo

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

Avaliação das atividades anti-toxoplásmica, antioxidante e antiinflamatória dos monoterpenos timol (lippia sidoides) e estragol (croton zenhtneri)

Toxoplasmosis, a benign disease in normal healthy individuals, can have serious effects in pregnant women and immunocompromised patients. It is a parasitic disease caused by Toxoplasma gondii (Tg), an obligatory intracellular protozoan. The prophylactic and therapeutic arsenal against this parasite is very restricted. Thus, there is an ongoing search for novel drugs and therapeutic strategies. A promising alternative is a rational approach using medicinal plants. This study aimed to standardize methodologies for assessing the toxicological, antiproliferative, antioxidant, antiinflammatory and anti-Toxoplasma effects of Estragole and Thymol compounds isolated from species of plants (Lippia sidoides and Croton zenhtneri) commonly used in the Cariri region of Ceara State, Brazil. First we evaluated in vivo toxicity and conducted a pathological analysis of mice livers. In vivo antiinflammatory activity was assessed using air pouch and paw edema methods. Cytotoxicity assays were performed and antiproliferative, antioxidant and nitric oxide production analyzed. Anti-Toxoplasma activity was evaluated in a congenital experimental model with varying stages of maternal infection using the ME-49 strain and a non- congenital model by using ME-49 and RH strains. The results suggest low to moderate toxicity for both compounds. Thymol was more toxic in vivo and in vitro, having greater pathological repercussion than Estragole. The compounds were inactive for antiproliferative activity. Thymol showed better antioxidant activity, while Estragole stimulated nitric oxide production in macrophages. Both showed significant antiinflammatory activity. In non-congenital Tg infection, both compounds were active only against the ME49 strain. In congenital infection, Estragole (oral route) improved the newborn weight of infected mothers compared with untreated controls. Subcutaneous administration of the two compounds increased the weight of offspring born to infected mothers compared with untreated controls. We concluded that Estragole and Thymol exhibit important biological and anti-Toxoplasma activities. Further studies are needed to elucidate the mechanism of action of these compounds and other possible activities not investigated in the present study

Estrutura ANFIS modificada para identificação e controle de plantas com ampla faixa de operação e não linearidade acentuada

In this work a modification on ANFIS (Adaptive Network Based Fuzzy Inference System) structure is proposed to find a systematic method for nonlinear plants, with large operational range, identification and control, using linear local systems: models and controllers. This method is based on multiple model approach. This way, linear local models are obtained and then those models are combined by the proposed neurofuzzy structure. A metric that allows a satisfactory combination of those models is obtained after the structure training. It results on plant s global identification. A controller is projected for each local model. The global control is obtained by mixing local controllers signals. This is done by the modified ANFIS. The modification on ANFIS architecture allows the two neurofuzzy structures knowledge sharing. So the same metric obtained to combine models can be used to combine controllers. Two cases study are used to validate the new ANFIS structure. The knowledge sharing is evaluated in the second case study. It shows that just one modified ANFIS structure is necessary to combine linear models to identify, a nonlinear plant, and combine linear controllers to control this plant. The proposed method allows the usage of any identification and control techniques for local models and local controllers obtaining. It also reduces the complexity of ANFIS usage for identification and control. This work has prioritized simpler techniques for the identification and control systems to simplify the use of the method

Modelagem linear e identificação do modelo dinâmico de um robô móvel com acionamento diferencial

This work presents a modelling and identification method for a wheeled mobile robot, including the actuator dynamics. Instead of the classic modelling approach, where the robot position coordinates (x,y) are utilized as state variables (resulting in a non linear model), the proposed discrete model is based on the travelled distance increment Delta_l. Thus, the resulting model is linear and time invariant and it can be identified through classical methods such as Recursive Least Mean Squares. This approach has a problem: Delta_l can not be directly measured. In this paper, this problem is solved using an estimate of Delta_l based on a second order polynomial approximation. Experimental data were colected and the proposed method was used to identify the model of a real robot

Tratamento do Centro de Atenção Psicossocial para usuários de álcool e outras drogas CAPSad II Leste Natal/RN : uma avaliação da efetividade

The treatment for abusive users of alcohol and other drugs suffered significant modifications until arriving to the psychosocial model that is used by Centro de Atenção Psicossocial CAPSad II Eastern Natal/RN (Psychosocial Support Center). That model appears starting from Brazilian sanitary and psychiatric reforms which are expressed in the principles and propositions of Sistema Único de Saúde SUS (Unique System of Health). The Psychiatric Reform meant a rupture with the mental hospital and hospital centered treatment pattern which was destined to the abusive users of alcohol and other drugs. The new proposal offers the universalization, democratization, regionalization and completeness of the actions in the field of mental health. It gathers a strictly interdisciplinary health staff. The purpose of this study is to evaluate the effectiveness of the treatment for abusive users of alcohol and other drugs offered by CAPSad II Eastern Natal/RN. The evaluation used, as priority, the qualitative social research through an evaluating study starting from the non-experimental model. The methodological process used different instruments of data collection: bibliographical and documental researches, systematic observations at CAPSad II Eastern Natal/RN and, mainly, the semistructured interviews (21) that were accomplished with the professionals, users and relatives of CAPSad II Eastern Natal/RN. The investigation showed the effectiveness of the service and, therefore, CAPSad II Eastern Natal/RN constitute itself as the main confronting strategy to the mental hospital and hospital centered treatment pattern of caring the abusive users of alcohol and other drugs

Processos aleatórios não-markovianos: perfis de memória

One of the mechanisms responsible for the anomalous diffusion is the existence of long-range temporal correlations, for example, Fractional Brownian Motion and walk models according to Elephant memory and Alzheimer profiles, whereas in the latter two cases the walker can always "remember" of his first steps. The question to be elucidated, and the was the main motivation of our work, is if memory of the historic initial is condition for observation anomalous diffusion (in this case, superdiffusion). We give a conclusive answer, by studying a non-Markovian model in which the walkers memory of the past, at time t, is given by a Gaussian centered at time t=2 and standard deviation t which grows linearly as the walker ages. For large widths of we find that the model behaves similarly to the Elephant model; In the opposite limit (! 0), although the walker forget the early days, we observed similar results to the Alzheimer walk model, in particular the presence of amnestically induced persistence, characterized by certain log-periodic oscillations. We conclude that the memory of earlier times is not a necessary condition for the generating of superdiffusion nor the amnestically induced persistence and can appear even in profiles of memory that forgets the initial steps, like the Gausssian memory profile investigated here.

Avaliando as escolas pelas suas competências: aplicação do DEA não discricionário para o ensino fundamental do Rio Grande do Norte

Formal education, understood by the gradual process that occurs at school, aims at learning and systematic knowledge is of great interest to society as it benefits its individuals and leads to many positive effects, such as increased productivity and welfare (Johnes, Johnes, 2007). Understanding what influences the educational outcome is as important as the result itself, because lets you manage these variables in order to obtain a better student performance. This work uses the data envelopment analysis (DEA) to compare the efficiency of Rio Grande do Norte schools. In this nonparametric method, an efficiency frontier was construct from the best schools that use the inputs set to generate educational products. Therefore, the data used were obtain by Test Brazil and year 2011 School Census to state and municipal schools of Rio Grande do Norte. Some of the variables considered as inputs and outputs have been obtain directly these bases - the other two were prepared, using the Item Response Theory (IRT) - they are the socioeconomic and school infrastructure indices. As a first step, we compared several DEA models, with changes of input variables. Then was chose the non-discretionary model for which was deep the analysis of results. The results showed that only seven schools were efficient in the 5th and 9th grades simultaneously; there were no significant differences between the efficiency of municipal and state schools; and there were no differences between large and small schools. Analyzing the municipalities, Mossoró excelled in both years with the highest proportion of efficient schools. Finally, the study suggests that using the projections provided by the DEA method, the most inefficient schools would be able to achieve the goal IDEB in 2011, in other words, it is possible to improve the education of significant state taking the efficient schools as a basis for too much.