Mitigation of communication failures in distributed model predictive control strategies

Autor: Julian Barreiro-Gomez, Wicak Ananduta, Nicanor Quijano, Carlos Ocampo-Martinez
Přispěvatelé: Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control, European Commission, Air Force Office of Scientific Research (US)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Distributed control
0209 industrial biotechnology
Control and Optimization
Informàtica::Automàtica i control [Àrees temàtiques de la UPC]
Computer science
Distributed computing
Control (management)
02 engineering and technology
020901 industrial engineering & automation
distributed control
Control theory
information-exchange protocol
communication network
power-network control problem
0202 electrical engineering
electronic engineering
information engineering

distributed model predictive control strategy
Predictive control
Electrical and Electronic Engineering
Resilience (network)
Protocol (object-oriented programming)
Information sharing
020208 electrical & electronic engineering
DMPC strategy
Telecommunications network
Computer Science Applications
Human-Computer Interaction
Projection (relational algebra)
Model predictive control
Control and Systems Engineering
Control theory [Classificació INSPEC]
information sharing
Key (cryptography)
information-sharing network
communication failures
local controllers
predictive control
distributed projection dynamics
selection criteria
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
IET Control Theory & Applications
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Popis: Information sharing among local controllers is the key feature of any distributed model predictive control (DMPC) strategy. This study addresses the problem of communication failures in DMPC strategies and proposes a distributed solution to cope with them. The proposal consists in an information-exchange protocol that is based on distributed projection dynamics. By applying this protocol as a complementary plug-in to a DMPC strategy, the controllers improve the resilience against communication failures and relax the requirements of the communication network. Furthermore, a reconfiguration algorithm, which is a contingency procedure to maintain the connectivity of the network, and a discussion on the selection criteria of the information-sharing network are also presented. In order to demonstrate the performance and advantages of the proposed approach when it is applied to a DMPC strategy, a case study of a power-network control problem is provided.
The work of W. Ananduta has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675318 (INCITE). J. BarreiroGomez acknowledges U.S. Air Force Office of Scientific Research under grant number FA9550-17-1-0259. N. Quijano acknowledges SGR C/marca project 2015-2017.
Databáze: OpenAIRE