Actuator health prognosis for designing LQR control in feedback systems
Résumé
This paper deals with the control of actuators in feedback systems. Actuators are costly components for which health monitoring provides valuable information. Here, the control input law and its variations are assumed to deteriorate actuator until a degradation threshold leading the component to crash. With an observable degradation level according to a stochastic Gamma process, the actuator residual useful lifetime prognosis is used to online reconfigure a Linear Quadratic Regulator control law. The main aim is to find a satisfactory trade-off between conflicting requirements i.e. system performances and actuator reliability.