inf341 - Robust Control and State Estimation in Digitalised Energy Systems (Complete module description)

inf341 - Robust Control and State Estimation in Digitalised Energy Systems (Complete module description)

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Module label Robust Control and State Estimation in Digitalised Energy Systems
Modulkürzel inf341
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
  • Master's Programme Computing Science (Master) > Technische Informatik
  • Master's programme Digitalised Energy Systems (Master) > Digitalised Energy System Automation, Control and Optimisation
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Embedded Brain Computer Interaction
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Systems Engineering
Zuständige Personen
  • Rauh, Andreas (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites

Basic knowledge of the control of linear continuous-time and/or discrete-time systems or of robust control

Skills to be acquired in this module

The students identify fundamentals of robust control and state estimation as well as problem-specific solution techniques and their corresponding software implementation.
Professional competences

The students

  • identify fundamentals of robust control and state estimation
  • characterize problem-specific solution techniques for different classes of uncertainty
  • are aware of reliable software implementations.

Methological competences
The students

  • analyze problems of robust control and state estimation for dynamic systems
  • analyze fundamental solution techniques on a theoretical basis
  • transfer as well as generalize those independently to new fields of applications.

Social competences
The students

  • develop solution ideas for real-life control problems within an accompanying project in small teams
  • explain the obtained results in short presentations.

Self competences
The students

  • critically reflect the achieved results of their project work
  • acknowledge limitations of various approaches for robust control and state estimation.
Module contents
  1. Robustness of linear systems/ system analysis
    • Boundary crossing theorem of Frazer and Duncan
    • Mikhailov criterion
    • Kharitonov criterion
    • Frequency response approaches
  2. Selected control design techniques/ control synthesis
    • Parameter-space approach of Ackermann and Kaesbauer
    • Eigenvalue and eigenvalue domain assignment
    • H-infinity control
    • Frequency response approaches (Sensitivity function approaches in the frequency domain)
  3. Robust LMI-based control techniques
    • Lyapunov stability
    • Polytopic uncertainty modeling
    • Optimality of solutions
  4. Duality between control and observer synthesis
    • Robust state estimation
    • Sliding mode observers
  5. Interval methods: Solution of static and dynamic problems (Enclosing function values, Branch-and-bound techniques, Verification techniques for differential equations)
  6. Fundamentals: Fault detection and fault-tolerant control
Literaturempfehlungen
  • Ackermann, J. Robust Control, Springer-Verlag, 2002.
  • Gu, D.-W.; Petkov, P.H.; Konstantinov, M.M., Robust Control Design with MATLAB, Springer-Verlag, 2013
  • Ostertag, E. Mono- and Multivariable Control and Estimation, Springer-Verlag, 2011
  • Rauh, A. Folien/ Skript zur Vorlesung „Robuste Regelung und Zustandsschätzung“.
  • Weinmann, A. Uncertain Models and Robust Control, Springer-Verlag, 1991
Links
Language of instruction English
Duration (semesters) 1 Semester Semester
Module frequency every winter term
Module capacity unlimited
Teaching/Learning method V + Ü
Previous knowledge Grundkenntnisse der Regelung linearer zeitkontinuierlicher und/oder zeitdiskreter Systeme bzw. der robusten Regelung
Lehrveranstaltungsform Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Exercises 2 WiSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

Written exam: at the end of the lecture period
Portfolio: during the semester

Portfolio or written exam