Application of model-based LPV actuator fault estimation for an industrial benchmark
Control Engineering Practice
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.
© 2016 Elsevier Ltd. All rights reserved.
Reason for embargo
To bridge the gap between model-based fault diagnosis theory and industrial practice, a linear parameter varying H−/H∞ fault estimation approach is applied to a high fidelity nonlinear aircraft benchmark. The aim is to show how the fault estimation can provide robust early warning of actuator fault detection scenarios that can lead to abnormal aircraft flight configurations. The fault estimator state space solution is parameterised a priori using parameter-independent design freedom. Following this only constant free matrices are determined and the resulting affine linear parameter varying estimator has low computational load. The evaluation uses parametric simulation via an industry standard Monte Carlo campaign supported by a functional engineering simulator. The simulations are carried out in the presence of aerodynamic database uncertainties and measurement errors covering a wide range of the flight envelope.
The authors acknowledge funding support by the European Commission forthecontract FP7-233815, Advanced Fault Diagnosis for Sustainable Flight Guidance and Control(ADDSAFE),led by Dr.AndresMarcos (UniversityofBristol,UK).
Vol. 56, pp. 60 - 74