Fault diagnosis for a class of descriptor linear parameter-varying systems

Fault diagnosis for a class of descriptor linear parameter varying systems

Fault Diagnosis for Linear Time-Varying Descriptor Systems

In this paper fault diagnosis is studied for linear time varying descriptor systems, which are the discrete time counterpart of the continuous time dynamic systems described by differentialalgebraic equations. This class of systems includes and is broader than the well-known state space systems. The framework of descriptor systems is particularly useful for studying dynamic systems exhibiting t...

Sensor fault diagnosis for a class of LPV descriptor systems

In this paper, a sensor model-based fault diagnosis method for a particular class of linear parameter variant (LPV) systems is developed. The main contribution of this work is to propose an adequate observer that performs fault detection over the whole operating range of the system. The conditions for the existence of an observer are given. Such conditions guarantees the observer convergence an...

Actuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems

This paper deals with actuator fault estimation for a class of discrete-time Linear Parameter-Varying (LPV) descriptor systems. By considering the fault as an auxiliary state vector, an augmented system is established. Then, a fault estimation observer is designed based on the augmented system. In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI)...

Saturation fault-tolerant control for linear parameter varying systems

This paper presents a methodology for designing a fault-tolerant control (FTC) system for linear parameter varying (LPV) systems subject to actuator saturation fault. The FTC system is designed using linear matrix inequality (LMI) and model estimation techniques. The FTC system consists of a nominal control, fault diagnostic, and fault accommodation schemes. These schemes are designed to achiev...