Distributed state estimation and model predictive control of linear interconnected system: Application to fault tolerant control

Kamel Menighed (1) , Christophe Aubrun (1) , Joseph Julien Yamé (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

In this paper, a distributed and networked control system architecture based on independent Model Predictive Control/Kalman-Filter (MPC/KF) architectures, is proposed. Interconnected subsystems, possibly located at different sites, exchange information through the digital communication network. For the partial local state measurement, the key component for realistic Distributed Model Predictive Control (DMPC) formulation is the state estimations. These state estimations are generated by Kalman filters. In this distributed framework, MPC and KF algorithms may require information from other subcontrollers to achieve their task in a cooperative way. The given distributed and cooperative control system architecture may be suitable for Fault Tolerant Control (FTC) in a network of distributed subsystems. The proposed approach is used to implement a Fault Tolerant Control system under actuator faults within the distributed architecture.

Mots clés: Fault Diagnosis; Fault Tolerant Control; Cooperative Control; Complex Systems; Distributed Model Predictive Control

Domaines: Automatique / Robotique

Kamel Menighed, Christophe Aubrun, Joseph Julien Yamé. Distributed state estimation and model predictive control of linear interconnected system: Application to fault tolerant control. 7th Workshop on Advanced Control and Diagnosis, ACD 2009, Nov 2009, Zielona Góra, Poland. pp.6. ⟨hal-00530033⟩