Closed-loop stable model predictive control of integrating systems with dead time

Santoro, Bruno F.; Odloak, Darci

doi:10.1016/j.jprocont.2012.05.005

Cited by 23 publications

(31 citation statements)

References 15 publications

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“…Consider a system with nu inputs and ny outputs, and assume that there are transfer function models relating the inputs and outputs. Then, a state space realisation of the step response model of the system originally presented in Rodrigues and Odloak and extended in Santoro and Odloak for the time‐delayed system, is considered here to represent the propylene/propane splitter. For this purpose, let us designate θ max as the maximum dead time of the system and let na be the maximum order of the transfer functions of the system.…”

Section: State‐space Formulation Of the Step Response Modelmentioning

confidence: 99%

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Study of the implementation of a robust MPC in a propylene/propane splitter using rigorous dynamic simulation

Hinojosa

Odloak

2014

Can J Chem Eng

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This work addresses the application of the Robust Infinite Horizon Model Predictive Control (RIHMPC) to a heat integrated propylene distillation system at a Petrobras refinery. The approach proposed here is tested on the rigorous dynamic simulation software (Dynsim®) that reproduces the system as a virtual plant and is able to communicate with the MPC algorithms developed in Matlab, through an Open Platform Communication (OPC) interface. The controller is based on a minimal order state‐space model that is equivalent to the system step response and considers the zone control of the outputs and optimizing targets for the inputs. The optimizing targets are obtained through the steady‐state economic optimization using the real‐time optimization package (ROMeo®1). The proposed integration approach provides convergence and stability to the closed‐loop system. The propylene distillation system is simulated with the proposed control and optimization strategies and the results show that, from the economic performance and robustness viewpoint, for this particular system, the proposed robust MPC is significantly better than the nominal IHMPC based on a single linear model obtained at the most probable operating point.

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Section: State‐space Formulation Of the Step Response Modelmentioning

confidence: 99%

“…Propylene molar composition in the propane product stream extended in Santoro and Odloak [8] for the time-delayed system, is considered here to represent the propylene/propane splitter. For this purpose, let us designate u max as the maximum dead time of the system and let na be the maximum order of the transfer functions of the system.…”

Section: Modelmentioning

confidence: 99%

Study of the implementation of a robust MPC in a propylene/propane splitter using rigorous dynamic simulation

Hinojosa

Odloak

2014

Can J Chem Eng

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“…In 2005, Carrapiço and Odloak improved the method presented by Rodrigues and Odloak to eliminate the conflict between the constraints in the system inputs [14]. In 2012, Santoro and Odloak extended the infinite horizon model predictive control to the case of integrating systems with time delays [15]. However, the infinite horizon performance indicator is often difficult to be solved directly.…”

Section: Introductionmentioning

confidence: 99%

A steady-state target calculation method based on “point” model for integrating processes

et al. 2015

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“…-model-based asset management / diagnosis [6], -model-based APC [7][8][9][10][11], -the use of training simulators, -feasibility studies of process technology changes using dynamic simulation, -statistical methods:…”

Section: Introductionmentioning

confidence: 99%

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

Piechottka

Hagenmeyer

2014

At – Automatisierungstechnik

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The contribution aims at stimulating a dialogue between academia and industry: from an application point of view, the authors observe in the field of process control an ongoing drift between theory and practice. As engineers, the authors are concerned that this drift weakens the position of process control as a whole. Hence, a thorough analysis and a following discussion are at need. In order to contribute to the aforementioned dialogue, first the state of the art of process control in the Western European chemical industry is reported by displaying the results of a Western-European-wide survey. Thereafter, a discussion of the actual context of industrial applications of process control is led. Finally, the contribution is concluded in view of opening the field for the dialogue in need by some remarks fostering the future of process control as a whole.

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Closed-loop stable model predictive control of integrating systems with dead time

Cited by 23 publications

References 15 publications

Study of the implementation of a robust MPC in a propylene/propane splitter using rigorous dynamic simulation

Study of the implementation of a robust MPC in a propylene/propane splitter using rigorous dynamic simulation

A steady-state target calculation method based on “point” model for integrating processes

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

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