Substantial damage may occur when a rotary actuator fails during operation. Therefore, effective fault diagnosis of a rotary actuator is crucial to ensuring the safety of the device. However, only a few studies on fault detection, fault isolation, and performance assessment have focused on rotary actuators. In this study, fault detection and fault isolation processes were implemented by designi...

An adaptive robust approach for actuator fault-tolerant control of a class of uncertain nonlinear systems is proposed. The two chief ways in which the system performance can degrade following an actuator-fault are undesirable transients and unacceptably large steady-state tracking errors. Adaptive control based schemes can achieve good final tracking accuracy in spite of change in system parame...

This paper studies the reliable dynamic output-feedback control of linear systems based on either component fault, that is, either sensor or actuator faults. A more practical continuous fault model of sensor and actuator than discrete model is considered. The resulting control systems are reliable in that they provide guaranteed asymptotic stability and H∞ performance when all control component...

Fault-tolerant control methods have been extensively researched over the last 10 years in the context of chemical process control applications, and provide a natural framework for integrating process monitoring and control aspects in a way that not only fault detection and isolation but also control system reconfiguration is achieved in the event of a process or actuator fault. But almost all t...

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 ...

The purpose of the paper is to present an approach to detect, isolate and accommodate the sensor or actuator faults using bank of 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 anal...

This paper presents a new actuator and sensor fault reconstruction scheme for Linear Parameter Varying (LPV) systems, based on a sliding mode observer. Two separate observer schemes for actuator and sensor fault reconstruction are presented. For the design of the actuator fault reconstruction scheme, the varying input distribution matrix has been factorized into a fixed and a varying component....

Based on fuzzy control and sliding mode observer technique, a fault accommodation strategy is proposed for near space hypersonic vehicle (NSHV) with actuator fault in this study. Firstly, the Takagi-Sugeno (T-S) fuzzy model is implemented to represent the NSHV nonlinear dynamics, and a bank of sliding mode observers are designed for the established T-S model, which are used to generate the resi...

We propose a robust actuator fault tolerant control strategy for systems with linear parameter varying (LPV) uncertainty model description. The scheme employs a set-based robust fault detection and identification (FDI) approach and a bank of virtual actuators (VA). An interesting feature is that the virtual actuators are used both for FDI and controller reconfiguration (CR) tasks. The robust FD...

this paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. the methodology is based on a modified sliding mode observer (smo) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. the faults are reconstructed using the equivalent output error i...