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Course Detail

Degree
Master
Standard Academic Year
Course delivery methods
Online (Synchronous)
Subject
Computer Science, Engineering & technology
Program
School
Faculty of Civil and Environmental Engineering, Institute of Computational Engineering, Mechanics of Adaptive Systems
Department
Campus
Classroom
Course Offering Year
2022-2023
Course Offering Month
October - February
Weekday and Period
Block course October - December 2022 (Friday 13:30 - 17:30 CET)
Capacity
Anticipated number of participants: n.a. Slots available for CiC students: 2
Credits
6
Language
English
Course Number

Advanced Control Methods for Adaptive Mechanical Systems Ruhr-Universität Bochum

Course Overview

​Advanced methods for the control of adaptive mechanical systems are introduced in the course. This involves the recapitulation of the fundamentals of active structural control and an extension to advanced control. Observer design is introduced as a tool for the estimation of system states. In addition to numerical modelling using the finite element approach, system identification is explained as an experimental approach. Theoretical backgrounds of the experimental structural modal analysis are introduced along with the terms and definitions used in signal processing. Experimental modal analysis is explained using the Fast Fourier Transform. Advanced closed loop control methods involving optimal discrete-time control, introduction of additional dynamic approaches for the compensation of periodic excitations and basic adaptive control algorithms are explained and pragmatically applied for solving problems of vibration suppression in civil and mechanical engineering.

Learning Achievement

Competence

Course prerequisites

Fundamentals of control system theory

Grading Philosophy

• Written examination (120 min, 70%)
• Seminar paper (30%)

Course schedule

Course type

Online Course Requirement

Instructor

Prof. Dr.-Ing. Tamara Nestorović

Other information

Programme: MSc Computational Engineering

Site for Inquiry

Please inquire about the courses at the address below.

Email address: mas@rub.de


Link to the syllabus provided by the university