Mitigation of communication failures in distributed model predictive control strategies
Autor: | Julian Barreiro-Gomez, Wicak Ananduta, Nicanor Quijano, Carlos Ocampo-Martinez |
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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 |
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