Fault Diagnosis for Controlled Continuous Systems from a Hybrid Approach: A Case Study

This paper applies a hybrid approach to design a fault diagnoser for controlled continuous systems under actuator saturation. The discrete system is associated to fault tolerant states, non fault-tolerant states and fault events, and the discrete dynamic is modelled by using a Hybrid Finite State Automaton (HFSA). The discrete dynamic is extended by defining new events that are identified from the residuals associated to the continuous dynamics which is controlled by using a model matching strategy. The hybrid language is obtained for the controlled system and the HFSA is extended with observable events in order to propose the discrete diagnoser to identify the non-fault tolerant modes and the faults that exist in the system. This approach aims to propose real-time diagnostic systems for industrial processes.