A passive fault-tolerant control strategy is proposed for systems subject to a novel kind of intermittent fault, which is described by a Bernoulli distributed random variable. Three cases of fault location are considered, namely, sensor fault, actuator fault, and both sensor and actuator faults. The dynamic feedback controllers are designed not only to stabilise the fault-free system, but also ...

This paper presents an overview of recent research into a new method of providing fault tolerant actuators for high-integrity and safety-critical applications. The High Redundancy Actuator (HRA) uses a large number of small actuation elements to make up a single actuator. It provides superior reliability and efficiency over current technology, by configuring and controlling the elements so that...

Fault detection and isolation (FDI) logic plays a crucial role in enhancing the safety and reliability, and reducing the operating cost of aircraft propulsion systems. However, it is a challenging problem achieving the FDI task with high reliability. For this purpose, various approaches have been proposed in the literature. In an on-line engine fault diagnoses, two tasks may use Kalman filter t...

In this paper, the fault diagnosis problem for a class of nonlinear multipleinput multiple-output (MIMO) systems with uncertainty is investigated. Under some geometric conditions, the system is transformed into two different subsystems. One is in the generalized observer canonical form and is not affected by actuator faults, so a nonlinear sliding mode observer for this subsystem is constructed...

This paper addresses actuator outages, or any actuator fault under the reconfiguration strategy. Based on the lattice structure of the set of system configurations, the concept of an extensive control law is introduced and shown to allow the design of a fault tolerant control strategy that mixes the passive and active approaches (PACT strategy). Extensive controls for α-stability and quadratic ...

This paper presents a robust FDI scheme using a sliding mode observer based on an LPV system, with fault reconstruction capability. Both actuator and sensor fault reconstruction schemes are considered which possess robustness against a certain class of uncertainty and corrupted measurements. For actuator fault reconstruction, the input distribution matrix (associated with the actuators being mo...

This paper proposed an observer based fault-tolerant control approach for the fuzzy T-S systems with sensors and actuators faults. By establishing the actuator fault and sensor fault models, an observer based fuzzy output feedback fault tolerant controller is developed and new stabilization conditions of the fuzzy fault tolerant control systems are given, which are formulated in terms of linear...

This paper introduces the application of the hybrid approach Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification and diagnosis in industrial actuator. The ANFIS can be viewed either as a fuzzy inference system, a neural network or fuzzy neural network (FNN). This paper integrates the learning capabilities of neural network to the robustness of fuzzy systems in the sense that ...

The partial loss of actuator effectiveness is considered for the control of a class of nonlinear processes in the presence of a fault. Not only unmatched uncertainties, but also matched uncertainties are discussed in Lyapunov stability sense. The partial loss of actuator effectiveness is approximated by high order neural networks. Application of the proposed design indicates that the fault comp...

The paper deals with the problem of a robust actuator fault diagnosis for Linear Parameter-Varying (LPV) systems with Recurrent Neural-Network (RNN). The preliminary part of the paper describes the derivation of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is based on the observer and H∞ framework f...