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Master's Dissertation
DOI
10.11606/D.3.2013.tde-27122013-110700
Document
Author
Full name
Mário Tomiyoshi Uchiyama Junior
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2013
Supervisor
Committee
Odloak, Darci (President)
Garcia, Claudio
Zanin, Antônio Carlos
Title in Portuguese
Controle preditivo aplicado ao processamento primário de petróleo.
Keywords in Portuguese
Atenuação de golfadas
Controle preditivo
Plataformas de petróleo
Abstract in Portuguese
Esta dissertação estuda o controle multivariável de uma plataforma "offshore" típica. Com esse propósito, um modelo dinâmico rigoroso do processo não-linear foi desenvolvido e usado para representar o processo real nas simulações das estratégias de controle propostas. Baseado no modelo rigoroso e usando métodos de identificação, foram desenvolvidos modelos lineares aproximados para representar o processo no controlador preditivo (MPC). O sistema de controle foi projetado visando manter as variáveis controladas em valores adequados e reduzir o efeito de golfadas severas nos equipamentos à jusante da plataforma. Foram testados dois controladores preditivos: o MPC convencional que opera com "setpoints" fixos para as variáveis controladas e o controlador preditivo que opera com zonas para as variáveis controladas. Os resultados da simulação mostram que o controlador preditivo com controle por zonas é capaz de ter uma performance bem melhor que o controlador preditivo convencional, com uma significativa redução na amplitude das oscilações causadas pelas golfadas na vazão de petróleo na saída da plataforma.
Title in English
Model predictive control applied to an offshore platform.
Keywords in English
Model predictive control
Platform
Riser slugging attenuation
Abstract in English
This dissertation studies the multivariable control of a typical offshore platform. For this purpose, a rigorous nonlinear dynamic model of the process system is developed and used to represent the true process in the simulation of the proposed control strategies. Based on this rigorous model, approximate linear models are obtained through identification methods in order to represent the platform process in the Model Predictive Control (MPC). The control system was designed aimed at keeping all the controlled variables at adequate values and to reduce the effect of severe riser slugging on the downstream systems. Two model predictive controllers are tested: the conventional MPC with fixed set-points to the controlled outputs and the MPC with zone control of the outputs. The simulation results show that the controller based on the output zone control has a better performance than the conventional MPC with a significant reduction on the amplitude of the oscillation of oil flow at the outlet of the platform process.
 
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Publishing Date
2014-01-14
 
WARNING: The material described below relates to works resulting from this thesis or dissertation. The contents of these works are the author's responsibility.
  • Capron, B.D.O., Uchiyama, M.T., and ODLOAK, D. Linear matrix inequality-based robust model predictive control for time-delayed systems [doi:10.1049/iet-cta.2011.0216]. IET Control Theory & Applications [online], 2012, vol. 6, p. 37.
All rights of the thesis/dissertation are from the authors
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