Teaching
News from 26.03.2024
Information on the courses and their implementation can be found in the respective Moodle courses
Summer semester 2024
| Digital Control + Control Lab |
The module "Control " consists of 3 module elements: |
The focus of the lecture is the treatment of digital control systems. Prerequisites and design methods for digital controllers are examined. Methods covered include the z-transform, quasi-continuous controller design, digital control loop description, classical digital controllers and dead beat controllers. Within the framework of the course work "Control Laboratory", a problem from the area of control engineering is solved in the laboratory in groups. The module is completed with a written examination which covers the module elements 'Fundamentals of Control' and 'Digital Control' together. Study programmes: B.Sc. Electrical Engineering |
Lecturer: Dr.-Ing. Peter Will, Dipl.-Ing. Peter Sahm |
|
Introduction to Control Engineering for Computer Scientists
|
In the module "Introduction to Control Engineering for Computer Scientists", the relationships between signals in the time domain and in the frequency domain are explained in order to use them for the treatment of linear time-invariant systems in control engineering. The focus is on the analysis of technical systems in the frequency domain and the synthesis of closed control loops with common control algorithms. The controller design is carried out with analytical and graphical methods such as the root locus method, the Nyquist locus curve and the Bode diagram. Simple optimisation methods for control loops are also presented. The module is completed with a written examination. Course of studies: B.Sc. Computer Science |
Lecturer: Prof. Dr.-Ing. habil. Michael Gerke |
|
| State Space Theory | In this compulsory module of the M.Sc. Electrical Engineering the description of dynamic systems in the time domain is introduced by setting up the corresponding equations of state in common normal forms. For this purpose, solution methods are explained by applying the matrix e-function. Based on this, the calculation and synthesis of state controllers by pole placement is described and state estimation by means of deterministic observers is introduced. Subsequently, the theory of decoupling of multivariable systems and associated design methods are introduced. In addition, the module also outlines description possibilities for non-linear systems and their decoupling. In addition, the module includes insights into the theory of the LQ controller and the KALMAN filter. In this module, control engineering simulation tools are used in a supportive manner. The module is completed with an oral examination. Study programmes: M.Sc. Electrical Engineering |
Lecturer: Prof. Dr.-Ing. habil. Michael Gerke |
|
| Electrotechnical laboratory practical course | In the module element "Laboratory practical course programming", a sound understanding and knowledge of the practical implementation of various aspects of the programming of microcontrollers and the control of drives is taught. In addition, students learn how to read out various sensors and evaluate them with independently developed algorithms. After completing the "Practical Laboratory Programming", the students are able to link, control and regulate various hardware components with the help of their own programming elements. Previous participation in the course "Algorithms and Data Structures for Electrical Engineers" is a prerequisite for this practical laboratory course. The laboratory practical begins with a short introduction (introduction to the development environment and hardware, as well as the methods to be used). Afterwards, the implementation of the given tasks in self-study begins on a group basis. The work progress is discussed and documented in regular meetings with the supervisors. The laboratory practical course is a course credit in the B.Sc. degree programme in Electrical Engineering. Study programmes: B.Sc. Electrical Engineering |
Staff of the RST department: Dipl.-Ing. Peter Sahm, Dr.-Ing. Peter Will, Dr.-Ing. Nasser Gyagenda |
|
| Laboratory practical course in automation technology | In this interdisciplinary practical course, students acquire the necessary specialist competences in the field of automation and energy technology at Master's level and they acquire methodological competences in their application. The students are enabled to analyse complex tasks from the field of automation and energy technology and to practically apply what they have learned theoretically in the lectures as well as to select and apply suitable procedures for testing and verifying solutions. The practical course includes laboratory experiments from the subject groups: - Reliability of technical systems and electrical measurement technology, - Power electronics and electrical drives, - Control engineering and autonomous robotics (RST), and - Electrical machines, drives and controls. The laboratory practical course is a course credit in the M.Sc. programme in Electrical Engineering. Study programmes: M.Sc. Electrical Engineering |
Staff of the RST department: Dr.-Ing. Peter Will, Dr.-Ing. Nasser Gyagenda, Dipl.-Ing. Peter Sahm |
|
| Seminar Electrical Engineering | The subject-related content of the individual seminar work from the areas of control engineering, automation technology and robotics is coordinated with the lecturers. They are secondary to the targeted methodological competences (literature research and its summary/condensation) and key qualifications (lecture preparation and presentation in front of an audience) and can, if necessary, prepare and supplement a targeted focus for student research projects and theses. The seminar represents a course credit in the B.Sc. degree programme in Electrical Engineering (FPO 2012). Study programmes: B.Sc. Electrical Engineering (FPO 2012) |
Staff of the RST department: Dr.-Ing. Peter Will, Dr.-Ing. Nasser Gyagenda, Dipl.-Ing. Peter Sahm |
|
|
Advanced Control |
The module 'Advanced Control' consists of 2 module elements: - Digital Control - Control Laboratory |
Only exams possible.
|
Lecturers:
Prof. Dr.-Ing. habil.
Dr.-Ing. Peter Will, |
Winter semester 2024/2025
|
Fundamentals of Control
|
The module "Control Engineering" consists of 3 module elements: - Fundamentals of Control Engineering, - Digital Control Engineering, - Control engineering laboratory |
Only exams possible.
|
Lecturer: Prof. Dr.-Ing. habil. Michael Gerke |
| Linear Control (in Englisch) |
The module 'Introduction to Electrical Engineering I of the international Master's programme 'M.Sc. Mechatronics' comprises the module elements: - Electrical Engineering and - Linear Control |
In the module element 'Linear Control' presented here, the basics of linear control engineering in the frequency domain are taught and, building on this, the system description in the state space (time domain) is introduced. The frequency domain methods focus on the description of technical systems through linear, time-invariant transmission elements, as well as the associated controller synthesis with common closed-loop control algorithms. The root locus method, Nyquist locus curves and Bode diagrams are used for controller design. In the following system description in the state space, the mathematical basics are taught through differential equations and the normal forms are introduced. This is then used to explain the design of state controls. In the module 'Linear Control', control engineering simulation tools are used in a supporting manner. Laboratory experiments are offered as an option. The module element 'Linear Control' is completed with a written examination. Study programmes: M.Sc. Mechatronics |
Lecturer: Prof. Dr.-Ing. habil. Michael Gerke |
| Mechatronic Systems (in Englisch) |
The module 'Mechatronic Systems' first provides an overview of the components of mechatronic systems and introduces common mechatronic applications. It then focuses on stationary robot systems as exemplary standard mechatronic systems. Aspects of the kinematics of rigid bodies and open kinematic chains are dealt with, as well as the necessary coordinate transformations for describing movements in the three-dimensional workspace of a stationary robot. Based on this, methods for the derivation of dynamic models are presented, as they are required for the control of robot movements. The module then deals with the typical robot drive concepts and introduces the required actuators (motors and gears). The control loop is closed by the presentation of the internal sensor systems that are required to record the current positions, speeds and acting forces/torques of the robot axes. The lecture is supported by suitable exercises for the theoretical part. In this module, a problem from the field of robotics is solved in the laboratory in groups as part of a course assignment. The module is completed with a written examination. Study programmes: M.Sc. Mechatronics, M.Sc. Electrical Engineering |
Lecturers: Prof. Dr.-Ing. habil. Michael Gerke Dr.-Ing. Nasser Gyagenda, Dipl.-Ing. Peter Sahm |
|
|
Optimal and adaptive control of linear and non-linear systems |
The module 'Optimal and adaptive control of linear and non-linear systems' of the Master's programme in Electrical Engineering gives an overview of the treatment of non-linear control systems and presents methods for their control. These are supplemented by considerations of the adaptive control of processes and the design of optimal controllers. In reality, non-linear systems usually occur. Based on the linear methods of the lecture in the B.Sc. module element "Fundamentals of Control Engineering", more complex non-linear systems are examined here. First, systems in the state space are analysed; subsequently, controller design methods are presented in the phase level. Methods dealt with are the method of harmonic balance, control with 2- and 3-point characteristic curves as well as stability investigations according to Lyapunov and Popov. Based on this, general optimisation methods in control engineering are examined. Evaluation and controller design criteria are dealt with. Essential methods are the optimisation approach according to Lagrange, solution methods of Euler, Lagrange and Hamilton as well as the maximum principle of Pontryagin. Dynamic programming is taught according to Bellmann's method. In adaptive control, the methods "Gain Scheduling", "Self Tuning", "Model Reference" are introduced. The theoretical part of the module is supported by appropriate exercises and simulations. The module includes laboratory experiments on non-linear control engineering as a course assignment. The module is completed with an examination (written/oral after advance notice). Note: Lecture and tutorial are carried out on-line in this module, the associated laboratory takes place in presence. Study programmes: M.Sc. Electrical Engineering |
Lecturers: Prof. Dr.-Ing. Stephan Schmidt (Lecturer) Dr.-Ing. Nasser Gyagenda, Dr.-Ing. Peter Will, Dipl.-Ing. Peter Sahm |
|
|
Advanced Driver Assistance Systems
|
The module 'Driver Assistance Systems' teaches the basics of basics for understanding driver assistance systems. Presented are:
Contents of the exercise are Modelling in vehicle dynamics Simulations for the verification of the operation of several driver assistance systems The module is completed with a written examination. Study programmes: M.Sc. Mechatronics, M.Sc. Electrical Engineering |
Lecturer: Dr.-Ing. Peter Will |