The main scope of this work is the implementation of an MPC that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control c...
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The main scope of this work is the implementation of an MPC that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control cost function that includes an additional term related to the economic objective. The optimizing MPC is based on a quadratic program (QP) as the conventional MPC and can be solved with the available QP solvers. The method was implemented in an industrial distillation system, and the results show that the approach is efficient and can be used, in several practical cases. (C) 2011 Elsevier Ltd. All rights reserved.
This paper studies a simplified methodology to integrate the real time optimization (RTO) of a continuous system into the model predictive controller in the one layer strategy. The gradient of the economic objective f...
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This paper studies a simplified methodology to integrate the real time optimization (RTO) of a continuous system into the model predictive controller in the one layer strategy. The gradient of the economic objective function is included in the cost function of the controller. Optimal conditions of the process at steady state are searched through the use of a rigorous non-linear process model, while the trajectory to be followed is predicted with the use of a linear dynamic model, obtained through a plant step test. The main advantage of the proposed strategy is that the resulting control/optimization problem can still be solved with a quadratic programming routine at each sampling step. Simulation results show that the approach proposed may be comparable to the strategy that solves the full economic optimization problem inside the MPC controller where the resulting control problem becomes a non-linear programming problem with a much higher computer load. (C) 2010 Elsevier Ltd. All rights reserved.
The main issue objective of this work is to implement an optimization strategy through a two-layer structure where the search for optimal operational variables is made through of the algorithms optimization - Successi...
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The main issue objective of this work is to implement an optimization strategy through a two-layer structure where the search for optimal operational variables is made through of the algorithms optimization - Successive quadratic programming - SQP. The considered process is based on the hydrogenation of phenol for production of cyclo-hexanol in the presence of a nickel catalyst. The objective function to be considered for the optimization is to maximize production of cyclo-hexanol, through a steady-state model while maintaining the conversion of phenol at the exit of the reactor under environmental constraints. Factorial design and response surface analysis in a simulation study of a three-phase catalytic slurry reactor is used to identify the impact that each variable has on the system as well as the interaction among then. An improvement of 5.5% in cyclo-hexanol conversion was observed for the optimized variables (O H = 259 kg/h, O Ni = 53 kg/h).The resulted model for the response surface was used as a flrst objective function for the SQP optimization. Theoptimization results can be then used as set-point values to the advanced controller
This paper describes the implementation of a new non-conventional real-time optimization strategy applied to the maximization of LPG production in a fluid catalytic cracking (FCC) converter in the refinery of Sao Jose...
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This paper describes the implementation of a new non-conventional real-time optimization strategy applied to the maximization of LPG production in a fluid catalytic cracking (FCC) converter in the refinery of Sao Jose dos Campos in Brazil. Focus is given on the difficulties of integrating optimization to existing controllers. The first commissioning tests are described in detail. They show that the benefits from optimization are not restricted to economic values. Implementation of the strategy gives directions on how to change the operating mentality of the plant operators. The implemented optimization strategy is shown to be able to maintain control of the plant even in the loss of several manipulated variables and in the presence of strong disturbances. Furthermore, we show that the optimization strategy is able to drive the process to new operational points. (C) 2000 Elsevier Science Ltd. All rights reserved.
This paper describes the implementation of a new non-conventional real-time optimization strategy applied to the maximization of LPG production in a fluid catalytic cracking (FCC) converter in the refinery of Sao Jose...
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This paper describes the implementation of a new non-conventional real-time optimization strategy applied to the maximization of LPG production in a fluid catalytic cracking (FCC) converter in the refinery of Sao Jose dos Campos in Brazil. Focus is given on the difficulties of integrating optimization to existing controllers. The first commissioning tests are described in detail. They show that the benefits from optimization are not restricted to economic values. Implementation of the strategy gives directions on how to change the operating mentality of the plant operators. The implemented optimization strategy is shown to be able to maintain control of the plant even in the loss of several manipulated variables and in the presence of strong disturbances. Furthermore, we show that the optimization strategy is able to drive the process to new operational points. (C) 2000 Elsevier Science Ltd. All rights reserved.
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