Advances in Gain-Scheduling and Fault Tolerant Control Techniques

by Damiano Rotondo

Overview

This thesis reports on novel methods for gain-scheduling and fault tolerant control (FTC). It begins by analyzing the connection between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms. This is then followed by a detailed description of the design of robust and shifting state-feedback controllers for these systems. Furthermore, it presents two approaches to fault-tolerant control: the first is based on a robust polytopic controller design, while the second involves a reconfiguration of the reference model and the addition of virtual actuators into the loop. Inaddition the thesis offers a thorough review of the state-of-the art in gain scheduling and fault-tolerant control, with a special emphasis on LPV and TS systems.

Product Details

ISBN-13:	9783319629018
Publisher:	Springer International Publishing
Publication date:	10/18/2017
Series:	Springer Theses
Edition description:	1st ed. 2018
Pages:	255
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Part.- Advances in gain-scheduling techniques.- Background on gain-scheduling.- Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models.- Robust state-feedback control of uncertain LPV systems.- Shifting state-feedback control of LPV systems.- part 2.- Background on fault tolerant control.- Fault tolerant control of LPV systems using robust state-feedback control.- Fault tolerant control of LPV systems using reconfigured reference model and virtual actuators.- Fault tolerant control of unstable LPV systems subject to actuator saturations and fault isolation delay.- Conclusions and future work.