Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Lateral control for an aircraft of folding wing
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Fault tolerant control: an imprecise computation setting
ROCOM'09 Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
Fault detection in hydropower plant using holonic structure concept
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Additive faults' detection and level control in coupled tanks
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Controller design using bifurcation map for aircraft spin recovery
CONTROL'09 Proceedings of the 5th WSEAS international conference on Dynamical systems and control
MAMECTIS'09 Proceedings of the 11th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
A NSGAII approach to the fault detection filter design
ACMOS'07 Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation
AW implementation using multifiltering for fault detection
ACMOS'07 Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation
Faults tolerant control application using neural networks
CONTROL'07 Proceedings of the 3rd WSEAS/IASME international conference on Dynamical systems and control
Prediction state observer for the longitudinal and lateral movements of an aircraft
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Reduced order observer for the longitudinal and lateral movements of an aircraft
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
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The purpose of the paper is to present an approach to detect, isolate and accommodate the sensor or actuator faults using bank of observer and unknown input observers (UIO). Full order observers, reduced order observers, unknown input observers and Kalman Filter are widely used in state estimations [1]. After the estimation of states, fault detection and isolation can be provided by conducting residual analysis. Despite the existence of unknown inputs, fault detection and isolation is implemented for a very large, four-engined, cargo jet aircraft model. Sensor accommodation is realized via switching under redundant sensor existence assumption. Actuator accommodation is provided by gain scheduling. Hence, if a fault occurs in an actuator corresponding to the control surfaces, the remainder (n-1) actuators are used to avoid hazardous flight regime. Sensor or actuator faults are detected by using residuals. Sensor faults are effective on the outputs while actuator faults are effective on the state equations. Fault isolation is implemented by taking into account that each residual is sensitive to all of the other faults but one fault. Fault detection, isolation and accommodation are shown to be functional through the simulations.