Stability analysis tool for tuning unconstrained decentralized model predicitive controllers

M. Vaccarini, S. Longhi, M.R. Katebi

Research output: Contribution to conferencePaper

Abstract

Some processes are naturally suitable to be controlled in a decentralized framework: centralized control solutions are often infeasible in dealing with large scale plants and they are technologically prohibitive when the processes are too fast for the available computational resources. In these cases, the resulting control problem is usually split in many smaller subproblems and the global requirements are guaranteed by means of a proper coordination. The unconstrained decentralized case is here considered and a coordination strategy is proposed for improving the global control performances. This paper present a tool for setting up and tuning a nominally stable decentralized Model Predictive Controller. Numerical
examples are proposed for testing and validating the developed technique.

Conference

ConferenceInternational Control Conference 2006
Abbreviated titleICC2006
CityGlasgow, UK
Period30/08/061/09/06
OtherThe Conference covers Methods, Technology, Applications and Education in Control Engineering. UKACC seeks to act as an effective link between the UK and the international control communities, and to provide a focus for International Federation of Automatic Control (IFAC) related activities. UKACC has three constituent members: The Institution of Engineering and Technology (IET), The Institute of Measurement and Control (IMC), and The Institution of Mechanical Engineers (IMechE).
Internet address

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Tuning
Controllers
Testing

Keywords

  • decentralized control
  • optimal regulators
  • predictive control
  • stability analysis
  • communication networks

Cite this

Vaccarini, M., Longhi, S., & Katebi, M. R. (2006). Stability analysis tool for tuning unconstrained decentralized model predicitive controllers. Paper presented at International Control Conference 2006, Glasgow, UK, .
Vaccarini, M. ; Longhi, S. ; Katebi, M.R. / Stability analysis tool for tuning unconstrained decentralized model predicitive controllers. Paper presented at International Control Conference 2006, Glasgow, UK, .5 p.
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keywords = "decentralized control, optimal regulators, predictive control, stability analysis , communication networks",
author = "M. Vaccarini and S. Longhi and M.R. Katebi",
year = "2006",
language = "English",
note = "International Control Conference 2006, ICC2006 ; Conference date: 30-08-2006 Through 01-09-2006",
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Vaccarini, M, Longhi, S & Katebi, MR 2006, 'Stability analysis tool for tuning unconstrained decentralized model predicitive controllers' Paper presented at International Control Conference 2006, Glasgow, UK, 30/08/06 - 1/09/06, .

Stability analysis tool for tuning unconstrained decentralized model predicitive controllers. / Vaccarini, M.; Longhi, S.; Katebi, M.R.

2006. Paper presented at International Control Conference 2006, Glasgow, UK, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Stability analysis tool for tuning unconstrained decentralized model predicitive controllers

AU - Vaccarini, M.

AU - Longhi, S.

AU - Katebi, M.R.

PY - 2006

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N2 - Some processes are naturally suitable to be controlled in a decentralized framework: centralized control solutions are often infeasible in dealing with large scale plants and they are technologically prohibitive when the processes are too fast for the available computational resources. In these cases, the resulting control problem is usually split in many smaller subproblems and the global requirements are guaranteed by means of a proper coordination. The unconstrained decentralized case is here considered and a coordination strategy is proposed for improving the global control performances. This paper present a tool for setting up and tuning a nominally stable decentralized Model Predictive Controller. Numericalexamples are proposed for testing and validating the developed technique.

AB - Some processes are naturally suitable to be controlled in a decentralized framework: centralized control solutions are often infeasible in dealing with large scale plants and they are technologically prohibitive when the processes are too fast for the available computational resources. In these cases, the resulting control problem is usually split in many smaller subproblems and the global requirements are guaranteed by means of a proper coordination. The unconstrained decentralized case is here considered and a coordination strategy is proposed for improving the global control performances. This paper present a tool for setting up and tuning a nominally stable decentralized Model Predictive Controller. Numericalexamples are proposed for testing and validating the developed technique.

KW - decentralized control

KW - optimal regulators

KW - predictive control

KW - stability analysis

KW - communication networks

UR - http://ukacc.group.shef.ac.uk/proceedings/control2006/papers/f224.pdf

M3 - Paper

ER -

Vaccarini M, Longhi S, Katebi MR. Stability analysis tool for tuning unconstrained decentralized model predicitive controllers. 2006. Paper presented at International Control Conference 2006, Glasgow, UK, .