Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Beschreibung

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. In short, 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.

Nominated as an outstanding PhD thesis by the Control Engineering group of the Comité Español de Automática (CEA)

Reports on a novel approach to robust and performance-based state feedback control

Describes potential fault-tolerant control (FTC) strategies for gain-scheduled systems

Offers a comprehensive review of gain-scheduling and fault-tolerant control (FTC) methods

Discusses the similarities between linear parameter varying and Takagi-Sugeno (TS) systems

Autor*in

Damiano Rotondo

Themen in »Advances in Gain-Scheduling and Fault Tolerant Control Techniques«

Takagi-Sugeno Models Fuzzy Control LPV Models Polytopic Quasi-LPV Models Robust Control Fault Tolerant Control Virtual Actuators Actuator Saturation Uncertain LPV Systems

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