Nonlinear Geometric Approach–Based Filtering Methods for Aircraft Actuator FDI

The paper addresses the problem of the design and the application of nonlinear filtering techniques for the detection and isolation of aircraft model actuator faults. In particular, the main contribution of this work is to combine the particle filtering technique with the nonlinear geometric approach for disturbance decoupled residual functions. By using aircraft simulator data in a flight condition characterised by tight–coupled longitudinal and lateral dynamics, the proposed fault diagnosis schemes are validated. Finally, in order to analyse and compare the performance capabilities of the developed fault diagnosis strategies, extensive simulations are performed in the presence of turbulence, measurement noise and modelling errors.