Navegando por Assunto "Controle de processos"

Agora exibindo 1 - 2 de 2

Acesso aberto (Open Access)
Análise de estoque do processo produtivo utilizando inferência fuzzy para tomada de decisão : estudo de caso
(Universidade Federal do Pará, 2021-07-15) CARVALHO, Pablo Rock Dias; MAGNO, Rui Nelson Otoni; http://lattes.cnpq.br/9017163598972975
The objective of the work is to propose a methodology for stock assessment and decision making in a phyto cosmetics company, using fuzzy logic. In this case study, we tried to answer the level of production and, consequently, the reasonableness of the stock. Such AI technique was chosen because it is the most suitable for better decision making. With the results obtained by the simulation with the real data, it was possible to verify that using the fuzzy logic technique the decision making had a greater precision for the applied scenario and this will bring benefits to the company, as well as the minimization of storage costs and weekly production beyond what is necessary. It is concluded that the methodology was able to achieve the established objectives, indicating by means of fuzzy logic a better decision making in the production of products.
Acesso aberto (Open Access)
Aprimoramento do desempenho do controlador preditivo multivariável aplicado em coluna depropanizadora utilizando filtro de kalman
(Universidade Federal do Pará, 2019-05-07) GOMES, Cássio Ferreira; MACEDO, Emanuel Negrão; http://lattes.cnpq.br/8718370108324505
The increase in the efficiency of industrial processes has been necessary in the present day, due to the high market competitiveness. In this context, techniques that seek to increase the performance efficiency of industrial plant control systems, minimizing costs and maximizing product quality, such as the use of Kalman Filter in process variables that feed control systems, has significant relevance. Kalman filter is a parameter estimation technique that allows, for linear systems, the reduction of noise and uncertainties that are subject to process variables. Its wide use is mainly due to the fact that the variables (information) that are obtained through the process, through physical instruments and measurement routines, have finite precision and are naturally corrupted by errors (random or coarse). These variables, when introduced into the control system, without the use of the Kalman Filter, carry all noise signals, reducing the performance of the control system. The aim of this work is to present the results of the Kalman Filter implementation in the industrial process, a propane generator column, controlled through a Predictive Controller, based on real data, in order to improve control performance and energy efficiency of this process. Simulation studies are performed on the MATLAB / SIMULINK platform