Hierarchical MPC supervisory control with sensitivity and controllability monitoring

Yutaka Iino

doi:10.1109/SICE.2008.4655009

Hierarchical MPC supervisory control with sensitivity and controllability monitoring

Yutaka Iino^*

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Model Predictive Control (MPC) enables to handle multi-objective optimal operations and control in various kinds of process controls. In fact, simultaneous optimization of stability, quality constrains and economical optimality, sometimes it fails into "infeasible" solution. Then a Supervisory Control Function in the hierarchical MPC configuration is proposed. It evaluates sensitivity of optimization and controllability in sense of "control degrees of freedom" and adjusts the control system structure as multi-input and multi-output closed loop system to be feasible. It realizes a kind of automatic "Plug and Play" function for control input. Some numerical simulations for general blending control in material process are evaluated to show the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Pages	2104-2107
Number of pages	4
DOIs	https://doi.org/10.1109/SICE.2008.4655009
Publication status	Published - 2008 Dec 1
Externally published	Yes
Event	SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan Duration: 2008 Aug 20 → 2008 Aug 22

Publication series

Name	Proceedings of the SICE Annual Conference

Conference

Conference	SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Country/Territory	Japan
City	Tokyo
Period	08/8/20 → 08/8/22

Keywords

Control degrees of freedom
Controllability
Model predictive control
Sensitivity
Supervisory control

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2008.4655009

Cite this

Hierarchical MPC supervisory control with sensitivity and controllability monitoring. / Iino, Yutaka.
Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology. 2008. p. 2104-2107 4655009 (Proceedings of the SICE Annual Conference).

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

Iino, Y 2008, Hierarchical MPC supervisory control with sensitivity and controllability monitoring. in Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology., 4655009, Proceedings of the SICE Annual Conference, pp. 2104-2107, SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology, Tokyo, Japan, 08/8/20. https://doi.org/10.1109/SICE.2008.4655009

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abstract = "Model Predictive Control (MPC) enables to handle multi-objective optimal operations and control in various kinds of process controls. In fact, simultaneous optimization of stability, quality constrains and economical optimality, sometimes it fails into {"}infeasible{"} solution. Then a Supervisory Control Function in the hierarchical MPC configuration is proposed. It evaluates sensitivity of optimization and controllability in sense of {"}control degrees of freedom{"} and adjusts the control system structure as multi-input and multi-output closed loop system to be feasible. It realizes a kind of automatic {"}Plug and Play{"} function for control input. Some numerical simulations for general blending control in material process are evaluated to show the effectiveness of the proposed method.",

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AB - Model Predictive Control (MPC) enables to handle multi-objective optimal operations and control in various kinds of process controls. In fact, simultaneous optimization of stability, quality constrains and economical optimality, sometimes it fails into "infeasible" solution. Then a Supervisory Control Function in the hierarchical MPC configuration is proposed. It evaluates sensitivity of optimization and controllability in sense of "control degrees of freedom" and adjusts the control system structure as multi-input and multi-output closed loop system to be feasible. It realizes a kind of automatic "Plug and Play" function for control input. Some numerical simulations for general blending control in material process are evaluated to show the effectiveness of the proposed method.

KW - Control degrees of freedom

KW - Controllability

KW - Model predictive control

KW - Sensitivity

KW - Supervisory control

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Hierarchical MPC supervisory control with sensitivity and controllability monitoring

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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