htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag

Electrical Machines II

Module name (EN):
Name of module in study programme. It should be precise and clear.
Electrical Machines II
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering, Bachelor, ASPO 01.10.2005
Module code: E511
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2U (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
4
Semester: 5
Mandatory course: yes
Language of instruction:
German
Assessment:
Written examination

[updated 12.03.2010]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E511 Electrical Engineering, Bachelor, ASPO 01.10.2005 , semester 5, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 120 hours (equivalent to 4 ECTS credits).
There are therefore 75 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
E405 Electrical Machines I


[updated 12.03.2010]
Recommended as prerequisite for:
E607 Electrical Machines III


[updated 12.03.2010]
Module coordinator:
Prof. Dr.-Ing. Vlado Ostovic
Lecturer:
Prof. Dr.-Ing. Vlado Ostovic


[updated 12.03.2010]
Learning outcomes:
After successfully completing this module, students will have acquired a basic understanding of electromechanical energy conversion and will know how to apply the fundamental laws of electrical engineering to solving problems involving electrical machines. They will also be able to use the knowledge gained to determine the key electromagnetic parameters in electric machines.
By studying this subject, students will gain a better understanding of the spatial and temporal relationships in electric machines and be able to draw parallels between different machine types. The methods learnt in this module provide a solid foundation for students taking more advanced modules in electrical machines.

[updated 12.03.2010]
Module content:
1.Fundamentals
 1.1 Application of Maxwell’s equations to electrical machines
 1.2 Magnetic circuit of an electrical machine
 1.3 Conductor parameters of an electrical machine
 
2.Windings, currents and air-gap magnetomotive force
 2.1 Basic terminology
 2.2 Linear current density and electric loading
 2.3 Flux linkage in a coil and a winding
 2.4 Winding factor
 2.5 Matrix representation of flux linkage in a winding
 2.6 Time-dependent excitation
 2.7 Generating a rotating field
 2.8 Representation of the air-gap mmf in a rotating frame of reference
 2.9 Commutator windings
 2.10 Squirrel-cage rotor windings
 
3.Air-gap flux linkage and induction
 3.1 d-q representation of the spatial variables in the air-gap
 3.2 Effect of slots on air-gap flux linkage and induction; Carter factor
 3.3 Resulting air-gap flux linkage and induction in commutator machines
 3.4 Resulting air-gap flux linkage and induction in synchronous machines
 3.5 Resulting air-gap flux linkage and induction in asynchronous (induction)  
     machines

[updated 12.03.2010]
Teaching methods/Media:
Lecture notes, overhead transparencies, video projector

[updated 12.03.2010]
Recommended or required reading:
OSTOVIC, V: Elektrische Maschinen [Electric Machines], Lecture notes

[updated 12.03.2010]
 
[Sun Dec 29 00:39:52 CET 2024, CKEY=eemia, BKEY=e, CID=E511, LANGUAGE=en, DATE=29.12.2024]