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Projects / Programmes source: ARIS

Optimization of energetically economical exploitation of electric machine for all working demands

Research activity

Code Science Field Subfield
2.12.01  Engineering sciences and technologies  Electric devices  Electromagnetic transformers 

Code Science Field
T455  Technological sciences  Motors and propulsion systems 
Keywords
environment, pollution, electric energy, production, design, drives, artificial intelligence, genetic algorithms, energetically economical electric machines, reluctance machine
Evaluation (rules)
source: COBISS
Researchers (3)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  06632  PhD Maks Berlec  Electric devices  Researcher  2002 - 2003 
2.  14925  MSc Danilo Makuc  Electric devices  Researcher  2002 - 2003 
3.  14838  PhD Damijan Miljavec  Electric devices  Head  2002 - 2003 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  65 
Abstract
In the world as in our country the use of electric energy and the environmental pollution are strictly connected. In the frame of proposed project our research group want to interlace design, production and drive of electric machines with the aim to reduce energy consumption. In the process of electric machines production we want to reduce the quantity of used materials and to simplify basic construction parts. In the phase of design the focus will be in increasing the area of el. machine characteristic with high efficiency. Also, the aim is to develop the drive alghoritm, which will be able to drive the el. machin in the area of highest effciencies regardless any applied load. The connection of these basic principles of reviewed system is opening a new theoretic field in processing energetically more effective electric machines.
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