Nonlinear aircraft sensor fault reconstruction in the presence of disturbances validated by real flight data

Abstract

Extended Kalman Filter to estimate the states and faults of the aircraft. Simulation results demonstrate the effectiveness of the proposed approach compared to an approach using an airspeed-based kinematic model. Furthermore, the major contribution is that the proposed approach is validated using real flight test data including the presence of external disturbances such as turbulence. Three flight scenarios are selected to test the performance of the proposed approach. It is shown that the proposed approach is robust to model uncertainties, unmodelled dynamics and disturbances such as time-varying wind and turbulence. Therefore, the proposed approach can be incorporated into aircraft Fault Detection and Isolation systems to enhance the performance of the aircraft.

Framework for Simultaneous Sensor and Actuator Fault-Tolerant Flight Control

“…The aircraft model used in this paper is the citation model [22]. Due to the page limit, the interested readers can refer to [22] for a more detailed introduction of the actuator. This paper considers both sensor faults and actuator faults.…”

Aviate, Navigate: Functional Visualizations of Asymmetric Flight Envelope Limits

“…Unfortunately, estimating the flight envelope of damaged aircraft is far from trivial. While much research is currently being done on Fault Detection and Isolation (FDI) and post-failure flight envelope estimation [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], fully functioning online systems do not yet exist. One reason for this lack of existing implementations are the high dimensionality of the state space and the corresponding computational complexity.…”

“…Operators employ skill-based behavior for simple, familiar tasks that require little to no mental effort, e.g., the simple tracking task of keeping the wings level while flying in mild turbulence. hierarchy (AH), which helps to obtain a of the functional means-end relationships the operator objectives and the many ways to [20][21][22]. The work domain analysis (WDA) constraints on different levels of abstraction, argin" within which the aircraft can be ting the objectives.…”

“…ological Interface Design framework for designing human-machine socio-technical systems [20][21][22]. It gives environment and concentrates on how the nstraints on the worker [21,22].…”

Real‐time nonlinear moving horizon observer with pre‐estimation for aircraft sensor fault detection and estimation

“…() To deal with a wide range of operating points, it is necessary to adopt nonlinear observer or filtering approaches to detect faults and provide reliable state or fault estimates. Based on the types of adopted models, these approaches can be classified as (i) a direct nonlinear model–based design including nonlinear geometric observers, high‐gain observers,() sliding‐mode observers,() and nonlinear Kalman filtering(); and (ii) a linear parameter varying model–based design using a linear parameter varying approximation to the nonlinear system. () In these approaches, except the nonlinear Kalman filtering, the observer or filter parameters are designed offline.…”