Control allocation of k-out-of-n systems based on Bayesian Network Reliability model: Application to a drinking water network
Résumé
This paper presents a new approach based on reliability to compute the control reallocation of redundant actuators when failures occur. The aim is to preserve the health of the actuators and the availability of the system both in the nominal situation and in the presence of some unavailable actuators. This paper proposes a solution to control an over-actuated system. In a degraded situation, this work proposes a reconfigured control allocation based on the on-line estimation of actuators functioning probability. The analytic solution proposed in the literature to compute the reliability of system is not appropriated to compute the reliability on-line. The graphical aspect of Bayesian Network is very interesting because it formalizes the model by coupling a generic model structure with simple parameter matrices and the inference computes the reliability of actuators according to on-line observations (evidences). It is applied to an over-actuated system to estimate its reliability and provide the parameters to distribute the control efforts among the redundant set of actuators. The effectiveness and the performance of the developed method are illustrated on a subsystem of a drinking water network (Barcelona, Spain).