Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
Robust Control: Systems with Uncertain Physical Parameters
Robust Control: Systems with Uncertain Physical Parameters
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Considering the possibility of unexpected situations, the authorities feel the necessity of keeping certain sub systems or components of aircraft under continuous scrutiny. Accordingly, sensors in flight control systems are considered as one of the crucial components of the system. The failure to detect faults is quite likely to cause very serious problems, which makes it vital to carry out effective fault detection and isolation processes. Through the determination of the size of the fault, it might be possible to make use of this information in the realization of the repair so that the detection of faults for complex systems might be carried out more effectively. In this study, the detection and isolation of sensor faults were carried out through bank of Unknown Input Observers. Additionally, a structure using fuzzy controllers was suggested in order to have an idea about the size of the fault. When this suggested structure is used, it might be possible to choose the most suitable control type to remove the effects of the fault during system reconfiguration following fault detection and isolation.