Control allocation using reliability measures for over-actuated system
Résumé
An optimal control law synthesis conditioned by the reliability importance measures and degradation of components in the presence of failures is presented. The aim is to preserve the health of the actuators and the availability of over-actuated system both in the nominal situation and in the presence of some actuator failures. The reliability importance measures are computed by mean of a Bayesian Network (BN) and degradation is modeled by a Dynamic Bayesian Network (DBN) since BN and DBN are well suited to compute actuators reliability through the bayesian inference. It is applied on a system to estimate its reliability and those of its components and provide the parameters to synthesize the control laws. The performance of the developed method is illustrated on an hydraulic system.