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research article

Plug-and-Play distributed model predictive control with coupling attenuation

Riverso, S.
•
Ferrari-Trecate, G.
2015
Optim. Control Appl. Meth.

We consider the control of a large-scale system composed of state-coupled linear subsystems that can be added or removed offline. In this paper we present Plug-and-Play (PnP) design methods based on Model Predictive Control (MPC) meaning that (i) the design of a local controller requires information from parent subsystems only, (ii) the plugging in/out of a subsystem triggers at most the redesign of controllers associated to subsystems coupled to it, (iii) plug in/out operations are automatically denied if they compromise stability of the overall system or constraint satisfaction. We advance previously proposed PnP decentralized control schemes by proposing a distributed control architecture that exploits communication between coupled subsystems. New controllers embody coupling attenuation terms that make PnP design applicable even when existing synthesis methods are not. The main features of our approach are illustrated considering the PnP design of controllers for regulating the frequency of multiple generators in power networks.

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Type
research article
DOI
10.1002/oca.2142
Author(s)
Riverso, S.
Ferrari-Trecate, G.
Date Issued

2015

Published in
Optim. Control Appl. Meth.
Volume

36

Issue

3

Start page

292

End page

305

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
SCI-STI-GFT  
Available on Infoscience
January 10, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/132567
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