The paper presents a model-based design method for fault diagnosis (detection and isolation) and fault-tolerant control (FDI/FTC).The design is based on pole placement of input-output models. Furthermore, the design of an output feedback controller is divided into two independent design tasks: a generalized state and fault observer design and a fault feedforward and state feedback design.

This paper investigates development of Fault Detection and Isolation (FDI) filters for retarded time-delay systems. A bank of residual generators is designed based on the linear geometric approach so that each residual is affected by one fault and is decoupled from the others while the H∞ norm of the transfer function between the disturbance and the residual signals are less that a prespecified...

Abstract: A new design procedure of a reduced order unknown input observer (UIO) is proposed to generate residuals for fault detection isolation (FDI). The originality of this work consists in the adopted approach for the procedure implementation. Indeed the kernel of the actuator fault distribution matrix is generated thanks to generalized inverses. The Kronecker product is used to solve a Syl...

Received Jan 29, 2017 Revised Mar 29, 2017 Accepted Apr 10, 2017 Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical vehicle. Like failures of a position sensor, a voltage sensor, and current sensors. Three-phase induction motors are the “workhorses” of industry and are the most widely used electrical machines. This paper presents a scheme for Fault Dete...

A robust fault detection and isolation (FDI) approach for uncertain constrained nonlinear systems (CNS) is outlined. The FDI scheme is based on a second order sliding mode observer (SOSMO). First, a closed-loop system is formed by incorporating the constraint terms into the system’s dynamic equation and then the observer is designed based on the resulting closed loop system. Stability of the SO...

The fault detection and isolation (FDI) in industrial processes has been under an active study during the last decade, but fault tolerant control applications relying to the traditional FDI methods have been scarce. In this paper a fault tolerant model predictive controller (MPC) with an embedded FDI system is developed for controlling a simulated heavy oil fractionator process, the Shell Contr...

The paper describes a general method for designing; (nonlinear) fault detection and isolation (FDI) systems for nonlinear processes. For a rich class of nonlinear systems, a nonlinear FDI system can be designed using convex optimization procedures. The proposed method is a natural extension of methods based on the extended Kalman filter.

The paper describes a general method for designing fault detection and isolation (FDI) systems for nonlinear processes. For a rich class of nonlinear systems, a nonlinear FDI system can be designed using convex optimization procedures. The proposed method is a natural extension of methods based on the extended Kalman lter.

The problem of fault detection and isolation (FDI) in cooperative manipulators is addressed. Free-swinging and locked joint faults are detected and isolated by an FDI system based on neural networks. For each arm, a Multilayer Perceptron (MLP) is used to reproduce the dynamics of the fault-free robot. The outputs of each MLP are compared to the real joint velocities in order to generate a resid...

Fault Detection and Isolation (FDI) using Linear Kalman Filter (LKF) is not sufficient for effective monitoring of nonlinear processes. Most of the chemical plants are nonlinear in nature while operating the plant in a wide range of process variables. In this study we present an approach for designing of Multi Model Adaptive Linear Kalman Filter (MMALKF) for Fault Detection and Isolation (FDI) ...