Advances In Gain-scheduling And Fault Tolerant Control Techniques (springer Theses)
by Damiano Rotondo /
2017 / English / PDF
15 MB Download
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.
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.
