2 resultados para Linear Convergence
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
This work considers the space study of the main road runner of integration of the Region Metropolitan of Natal (RMN) in formation, emphasizing its repercussion for the geographic context of the city, where we identify the positive and negative aspects of such space configuration, as for the aspects of the urban inaquality, economic centrality and of flows, promoted for the state and private capital (national and foreign). The linear convergence and polinucleately of geographic objects in that we identify as Central Space of Attentions (CSA), promoted, and still it promotes, important repercussion in the space estructuretion of the peripheral areas of the RMN, such as in the constitution of the "Capital Value of the Space". In this direction, to endorse the analysis of such reading, choose as cientific ballast the geographic theory, in a perspective dialectic, as well as we rescue contributions of the science of the administration, sociology, economy, amongst others. From the empirical research, subsidized with the application of forms together the entrepreneurs whom they possess investments in the CSA, as well as in the rescue of information you register in cadastre in the Junta Comercial do Estado do Rio Grande do Norte (JUNCERN) and telephonic list, we construct a proposal of reading of the current period of training of the process of space production to which is rank the CSA. The analysis of the data, under a comparative space angle, presents an important contribution to reevaluate the urban space of the RMN in its bigger aspect, exceeding the limits of the studied road corridor
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