Practical Course Simulation and Optimization of Mechatronic Drive Systems

Module Number: EI80003

Duration: 1 Semester

Recurrence: Winter and Summer Semester

Language: English

Number of ECTS: 6


Professor in charge: Ralph Kennel

Amount of work

Contact hours: 60

Self-study hours: 120

Total: 180

Description of achievement and assessment methods

The module examination is adapted to the aspired learning results:

1. Based on graded preparatory tasks (homeworks), the students' ability to work independently into the subject matterand thus to acquire new knowledge, solve problems and develop models will be evaluated.

2. The review of activity-based competences (for example, implementation of models on the computer) is carried outby means of comprehension questions and discussion during the execution of the experiment (conversation).

3. The ability to analyze and evaluate simulation results as well as logical thinking is checked by means of a gradedfinal exam.

The final grade is calculated from the partial tests by applying the following coefficients:

- Simulation experiments preparation: 30%

- Simulation experiments execution: 40%

- Final exam: 30%

(Recommended) requirements

In order to participate successfully in the module, knowledge is strongly required in the following areas:

- linear control theory (Laplace transformation, stability criteria, bode diagrams,…)

- basic knowledge of electrical machines

- operation of simulation software such as Matlab/SimulinkFor this reason the following modules should already be successfully completed before participation:

- Advanced Control

- Electrical Machines

- Power Electronics

Study Goals

After successful participation in the module, the student is able to:

- understand the process of electromagnetic energy conversion in rotating electric machines,

- to set up simple models for DC and AC machines,

- to understand the operation of power electronic actuators,

- to implement and parameterize the controller structures covered in the module using the simulation tools used,

- to design and optimize controllers for DC and AC machines in the constant torque region and field weakening range

- to use simulation tools (e.g., Matlab / Simulink) to investigate the behavior of mechatronic systems,

- to analyze and evaluate simulation results.

Teaching and learning methods

The teaching concept used in the module is based on three characteristics:

1. The detailed instruction manual is used to provide the necessary theoretical knowledge to carry out theexperiments. In this case, preparatory tasks must be solved by the students before each simulation experiment.These are evaluated and students are given feedback on their learning results at the beginning of the respectiveexperiment.

2. The knowledge gained during the preparatory phase is transfered into groups during the experimental phase bymeans of practical simulation tasks. During the simulation experiments Through inquiries and discussions with thesupervisor the opportunity the possibility is given to deepen the knowledge of what has been learned.

3. Writing a final exams after carrying out the practical tasks enables the student to revise the treated material and todisplay the gained knowledge by answering questions regarding models and the simulation results. This phaseserves both to consolidate the acquired knowledge and to promote analytical skills.

Media formats

Following forms of Media will be employed in this module:

- Presentations

- Instruction manuel (script) with preparatory exercises

- Computer simulation(s)

-Chee-Mun Ong: ""Dynamic Simulations of Electric Machinery: Using MATLAB/Simulink"", Pearson Education, 1997

-Haitham Abu-Rub, Atif Iqbal, Jaroslaw Guzinski: "High Performance Control of AC Drives with MATLAB/SimulinkModels", John Wiley & Sons, 2012