Robust Control
Robust Control

Robuste Regelung ist ein Forschungs- und Entwicklungsgebiet, dem in den letzten 20 Jahren große Aufmerksamkeit ununterbrochen gewidmet wurde. Ziel der Vorlesung ist es, Grundkenntnisse der robusten Regelung zu vermitteln und neue Ansätze zum Entwurf robuster Regler vorzustellen.
Die Vorlesung besteht aus vier Teilen. Es werden dabei die Systemstrukturen, Parametrisierungen von Reglern und Beobachtern sowie Standard-entwurfsverfahren für Systeme mit Störgrößen oder Modellunsicherheit behandelt. Ferner werden Faktorisierungstechnik sowie LMI- (linear matrix inequality) Technik vorgestellt.

Die Studierenden sollen in der Lage sein, Systeme mit Störgrößen und Modellunsicherheit beschreiben und analysieren zu können. Ferner sollen sie einfache robuste Regler.

[1] S. X. Ding, Vorlesungsskript "Robust control" (wird jährlich aktualisiert, per Download verfügbar, will be updated and available for download)
[2] K. Zhou, Essentials of robust control, Prentice Hall, 1998
[3] S. X. Ding, Data-driven design of fault diagnosis and fault-tolerant control systems, Springer-Verlag, 2014

Robuste Regelung

Due to its importance in practice, robust control technique is one of the research and development fields in control engineering, which continuously received the most attention during the last two decades. The focus of this course is the introduction to the essentials of the robust control theory, to the computational tools and some design methods.
The course consists of four parts. In Part 1, Introduction, the system configurations and internal stability of feedback loops are addressed. Part II, Control system configurations, parameterizations, and tools, is dedicated to parameterizations of stabilization controllers as well as observers and their configurations. The major mathematical tool is the factorization technique. In Part III, System analysis, controller design and design tools, standard robust control schemes, the so-called H_2 and H_inf control schemes as well as the associated mathematical knowledge are introduced. Moreover, the LMI (linear matrix inequality) technique for the system analysis and design is presented. Part IV, Robust controller design for uncertain systems, deals with systems with model uncertainties. Some basic schemes are introduced.

The students will be able to model and analyze uncertain control systems and to design different robust controllers.

[1] S. X. Ding, Vorlesungsskript "Robust control" (wird jährlich aktualisiert, per Download verfügbar, will be updated and available for download)
[2] K. Zhou, Essentials of robust control, Prentice Hall, 1998
[3] S. X. Ding, Data-driven design of fault diagnosis and fault-tolerant control systems, Springer-Verlag, 2014