Fault Detection and Isolation for Complex Thermal Management Systems

In this paper, a robust unknown input observer-based actuator fault detection and isolation (FDI) scheme is applied on an example aircraft fluid thermal management system (FTMS). System dynamics are modeled using a graph-based approach. A linearized state space model is used in a bank of unknown input observers (UIOs) to generate a set of structured robust (in the sense of disturbance decoupling) residuals. Simulation results show successful actuator FDI in the presence of unknown inputs.