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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Estudo e implementa??o em plantas f?sicas de um controlador preditivo generalizado com restri??es

Souza, Francisco Elvis Carvalho 25 January 2006 (has links)
Made available in DSpace on 2014-12-17T14:55:57Z (GMT). No. of bitstreams: 1 Francisco ECS.pdf: 506907 bytes, checksum: 18aec97ada610a2463e9ec18636426e1 (MD5) Previous issue date: 2006-01-25 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / This work shows a study about the Generalized Predictive Controllers with Restrictions and their implementation in physical plants. Three types of restrictions will be discussed: restrictions in the variation rate of the signal control, restrictions in the amplitude of the signal control and restrictions in the amplitude of the Out signal (plant response). At the predictive control, the control law is obtained by the minimization of an objective function. To consider the restrictions, this minimization of the objective function is done by the use of a method to solve optimizing problems with restrictions. The chosen method was the Rosen Algorithm (based on the Gradient-projection). The physical plants in this study are two didactical systems of water level control. The first order one (a simple tank) and another of second order, which is formed by two tanks connected in cascade. The codes are implemented in C++ language and the communication with the system to be done through using a data acquisition panel offered by the system producer / Este trabalho apresenta um estudo sobre Controladores Preditivos Generalizados com Restri??es e sua implementa??o em plantas f?sicas. Ser?o abordados tr?s tipos de restri??es: restri??es na taxa de varia??o do sinal de controle, restri??es na amplitude do sinal de controle e restri??es na amplitude do sinal de sa?da (resposta da planta). No controle preditivo, a lei de controle ? obtida pela minimiza??o de uma fun??o objetivo. Para poder levar em conta as restri??es, esta minimiza??o da fun??o objetivo ? feita pela utiliza??o de um m?todo para solu??o de problemas de otimiza??o com restri??es. O m?todo escolhido foi o algoritmo de Rosen (baseado na proje??o do gradiente). As plantas f?sicas em estudo s?o dois sistemas did?ticos de controle de n?vel (d?gua), um de primeira ordem (um tanque simples) e outro de segunda ordem, sendo formado por dois tanques acoplados em cascata. Os c?digos s?o implementados em linguagem C++ e a comunica??o com o sistema ? feita por meio de uma placa de aquisi??o de dados fornecida pelo fabricando dos sistemas

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