Program for the one week intensive course.

1. 28.5 - 1.6.2018, 5 ECTS PhD course on
Model Order Reduction for Electrical Machines
Location: Aalto University, TUAS-Building, Maarintie 8, lecture room AS3 (1021-1022)
Lecturers: Prof. Antti Hannukainen, Aalto University, Finland
Dr. Antti Lehikoinen, Aalto University, Finland
Prof. Anouar Belahcen, Aalto University, Finland
MSc. Mehrnaz Farzam Far, Aalto University, Finland
Person in charge: Prof. Anouar Belahcen, Aalto University, Department of Electrical Engineering
and Automation
Language: English
Enrolments: By email to: anouar.belahcen@aalto.fi (please fill in the form below)
The course is free of charges but you need to arrange for your travel and
accommodation yourself. Coffees and lunches will be served.
Schedule: The course will start on Mon. 28.5 at 9.00 and ends on Fri. 2.6 at 15.30.
During the week, the lectures and exercises are given every day from 9.00 to
15.30. Detailed schedule is at the end of this leaflet.
Topic: The energy conversion operation of an electrical machine is based on the
interaction between the magnetic field in the machine structure and its material.
An accurate simulation and analysis of the machine requires the solution of the
magnetic field equations in the machine. This is usually carried out through the
finite element analysis of the machine, either in 2 or 3 dimensions. Such a na
analysis require huge effort both in constructing the models and in computing
them. Integrating the machine models into system level simulation is then
impossible due to the computation burden. Conventionally, such an integration
is carried out through simplified and less accurate analytical models of the
machine. It is however possible to build a reduced model of the machine, which
is more accurate than the analytical ones and faster than the finite element
models. Such a methodology is called Model Order Reduction (MOR).
Objectives: The objective of the course is to introduce the basics and theory behind the
model order reduction methods, explain how these methods can be applied to
the simulation of an electrical machine, and demonstrate the use of these
methods in real-time control of electrical machines. The aim is that the students,
after this course, a) have an overview of model order reduction, b) are ready to
carry out reduction of different finite element models, and c) are capable to
understand scientific publications on model order reduction.
Pre requisites: Basics in electrical machines, finite element analysis, and mathematics.
Assessment: Presence (30%), Exercises (30%), Assignment (40%). No exam. The students
are required to attend min. 60% of lectures and 60% of Exercises/simulation
sessions.

2. Content:
1. Introduction and model problem
2. Linear algebra toolbox
3. Natural vibration modes
4. Transient analysis
5. MOR for the winding of electrical machines
6. MOR for the FE model of an electrical machine
Tentative schedule of the course:
--------------------------------------------------------------------------------------------------------------------------
Registration form (please copy and paste to the email body, then fill in the required information,
email title: PhD-course-registration)
First name* Last name* Organization* Email* Phone number
Monday 28.5 Tuesday 29.5 Wednesday 30.5 Thursday 31.5 Friday 1.6
9:00 - 10:30
Introduction of Electrical
Machines
Belahcen (AS3)
Model Problem
Hannukainen (AS3)
Natural vibration modes
Hannukainen (As3)
Transient analysis
Hannukainen (AS3)
MOR for windings
Lehikoinen (AS3)
10:30 - 11:00 Coffee breack Coffee breack Coffee breack Coffee breack Coffee breack
11:00:12:30
Introduction to FEM 2D
Belahcen (AS3)
Linear Algebra
Hannukainen (AS3)
Natural vibration modes
Hannukainen (As3)
MOR for electrical machines
Farzam Far (AS3)
Winding homogenization
Lehikoinen (AS3)
12:30 - 13:30 Lunch Lunch Lunch Lunch Lunch
13:30 - 15:30
2D FEM exercises
Belahcen (tbd)
Decomposition and norm
Exercises
Hannukainen (tbd)
natural vibrations exercices
Hannukainen (tbd)
electrical machine
simulations
Farzam Far (tbd)
winding simulations
Lehikoinen (tbd)