Development and application of a novel algorithm for steady-state optimising control using dynamic information

Victor Manuel Becerra; P. D. Roberts; J. Lin

doi:10.1109/CCA.1994.381457

Development and application of a novel algorithm for steady-state optimising control using dynamic information

Victor Manuel Becerra, P. D. Roberts, J. Lin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A novel optimising controller is designed that leads a slow process from a sub-optimal operational condition to the steady-state optimum in a continuous way based on dynamic information. Using standard results from optimisation theory and discrete optimal control, the solution of a steady-state optimisation problem is achieved by solving a receding-horizon optimal control problem which uses derivative and state information from the plant via a shadow model and a state-space identifier. The paper analyzes the steady-state optimality of the procedure, develops algorithms with and without control rate constraints and applies the procedure to a high fidelity simulation study of a distillation column optimisation.

Original language	English
Title of host publication	Proceedings of the Third IEEE Conference on Control Applications, 1994
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	257-262
Volume	1
DOIs	https://doi.org/10.1109/CCA.1994.381457
Publication status	Published - 1994

Keywords

discrete optimal control, distillation column, dynamic information, optimisation, receding-horizon optimal control, shadow model, state-space identifier, steady-state optimising control

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10.1109/CCA.1994.381457

Cite this

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title = "Development and application of a novel algorithm for steady-state optimising control using dynamic information",

abstract = "A novel optimising controller is designed that leads a slow process from a sub-optimal operational condition to the steady-state optimum in a continuous way based on dynamic information. Using standard results from optimisation theory and discrete optimal control, the solution of a steady-state optimisation problem is achieved by solving a receding-horizon optimal control problem which uses derivative and state information from the plant via a shadow model and a state-space identifier. The paper analyzes the steady-state optimality of the procedure, develops algorithms with and without control rate constraints and applies the procedure to a high fidelity simulation study of a distillation column optimisation.",

keywords = "discrete optimal control, distillation column, dynamic information, optimisation, receding-horizon optimal control, shadow model, state-space identifier, steady-state optimising control",

author = "Becerra, {Victor Manuel} and Roberts, {P. D.} and J. Lin",

year = "1994",

doi = "10.1109/CCA.1994.381457",

language = "English",

volume = "1",

pages = "257--262",

booktitle = "Proceedings of the Third IEEE Conference on Control Applications, 1994",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Development and application of a novel algorithm for steady-state optimising control using dynamic information. / Becerra, Victor Manuel; Roberts, P. D.; Lin, J.
Proceedings of the Third IEEE Conference on Control Applications, 1994. Vol. 1 Piscataway: Institute of Electrical and Electronics Engineers Inc., 1994. p. 257-262.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Development and application of a novel algorithm for steady-state optimising control using dynamic information

AU - Becerra, Victor Manuel

AU - Roberts, P. D.

AU - Lin, J.

PY - 1994

Y1 - 1994

N2 - A novel optimising controller is designed that leads a slow process from a sub-optimal operational condition to the steady-state optimum in a continuous way based on dynamic information. Using standard results from optimisation theory and discrete optimal control, the solution of a steady-state optimisation problem is achieved by solving a receding-horizon optimal control problem which uses derivative and state information from the plant via a shadow model and a state-space identifier. The paper analyzes the steady-state optimality of the procedure, develops algorithms with and without control rate constraints and applies the procedure to a high fidelity simulation study of a distillation column optimisation.

AB - A novel optimising controller is designed that leads a slow process from a sub-optimal operational condition to the steady-state optimum in a continuous way based on dynamic information. Using standard results from optimisation theory and discrete optimal control, the solution of a steady-state optimisation problem is achieved by solving a receding-horizon optimal control problem which uses derivative and state information from the plant via a shadow model and a state-space identifier. The paper analyzes the steady-state optimality of the procedure, develops algorithms with and without control rate constraints and applies the procedure to a high fidelity simulation study of a distillation column optimisation.

KW - discrete optimal control, distillation column, dynamic information, optimisation, receding-horizon optimal control, shadow model, state-space identifier, steady-state optimising control

U2 - 10.1109/CCA.1994.381457

DO - 10.1109/CCA.1994.381457

M3 - Conference contribution

VL - 1

SP - 257

EP - 262

BT - Proceedings of the Third IEEE Conference on Control Applications, 1994

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

ER -

Development and application of a novel algorithm for steady-state optimising control using dynamic information

Abstract

Keywords

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