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#40187 / #6

Seit WiSe 2020/21

English

Multivariable Control Systems

6

Raisch, Jörg

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Energie und Automatisierungstechnik

34311800 FG Regelungssysteme (Control Systems)

No information

Kontakt


EN 11

Lehmann, Dustin Marlon

dustin.lehmann@tu-berlin.de

Learning Outcomes

Students will acquire knowledge on fundamental control techniques for systems with multiple inputs and outputs, i.e., multivariable systems. This includes modelling and analysis of such systems as well as the synthesis of multivariable control systems. In the context of this module, students will learn both the available theoretic methods for multivariable controller synthesis and their application to practically motivated examples using software-tools.

Content

This module focuses on control methods for systems having multiple inputs and outputs and their application to practically motivated control problems. The module provides an introduction to analysis and synthesis techniques for multivariable control systems. It covers: - models for linear time invariant multivariable systems (state space models, minimal realisations, observability, controllability, transfer function matrices, coprime polynomial matrix fraction descriptions, generalised polynomial models) - canonical forms - poles and zeroes of multivariable systems - time domain control synthesis methods (pole placement, linear quadatic regulation, observer, observer in the loop) - frequency domain control synthesis methods (Nyquist array methods, H-infinity methods)

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Multivariable Control SystemsIV0430 L 052WiSeEnglish4

Workload and Credit Points

Multivariable Control Systems (IV):

Workload descriptionMultiplierHoursTotal
Preparing for examination15.04.0h60.0h
Revising and preparing lectures / labs15.04.0h60.0h
Time in lectures/labs etc.15.04.0h60.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Integrated course

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic knowledge of control systems (corresponding to a Bachelor-level course).

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

English

Duration/Extent

90 minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Registration via QisPos

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
Raisch, J.: Mehrgrößenregelungen im Frequenzbereich, Oldenbourg, 1994, (online auf http://www.control.tu-berlin.de verfügbar).
Kailath, T.: Linear Systems, Prentice Hall, 1980.
Green, M.; Limebeer, D.: Linear Robust Control, Prentice Hall, 1994.
Anderson, B.; Moore, J.: Optimal Control: Linear Quadratic Methods, Prentice Hall, 1990.
Maciejowski, J.: Multivariable Feedback Design, Addison Wesley, 1989.
P. Bélanger. Control Engineering: A Modern Approach. Oxford University Press, 1995
G. Franklin, J. Powell, and A. Emami-Naeini. Feedback Control of Dynamic Systems. Pearson Prentice Hall, 2006.
Bryson, A.; Ho Y.: Applied Optimal Control: Optimization, Estimation and Control, Taylor & Francis Inc, 1988

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Automotive Systems (M. Sc.)18WiSe 2020/21SoSe 2024
Computer Engineering (M. Sc.)132WiSe 2020/21SoSe 2024
Computer Science (Informatik) (M. Sc.)116WiSe 2020/21SoSe 2024
Elektrotechnik (M. Sc.)124WiSe 2020/21SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)116WiSe 2020/21SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information