DocumentCode
2631186
Title
Detent force reduction of a tubular linear drive by using a genetic algorithm and FEM - verification of simulation results
Author
Gruber, Sebastian ; Wegener, Ralf ; Soter, Stefan
Author_Institution
Inst. of Electr. Machines & Drives, Univ. of Wuppertal, Wuppertal, Germany
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
1731
Lastpage
1736
Abstract
In order to meet industrial safety standards in eccentric presses, the detent force caused by the reluctance change between permanent magnet (PM) and stator teeth of the acting high force tubular permanent magnet linear synchronous machines (PMLSM) should be reduced. The detent force is generated by two components: the slot effect which is already decreased by the closing slot technique and proven in [3] and the end effect which will be optimized by using auxiliary poles at the end of the machine. Therefore a special genetic algorithm (GA) is developed which rates the simulation results of the FEM and produces new auxiliary poles. The combined simulation tries to find an optimal size and position for auxiliary poles to reduce the whole detent force. The numerical calculations propose a minimized detent force caused by the located poles, which is independent from the length of the machines (1 to 5 modules). The result will be proven by measurements.
Keywords
finite element analysis; genetic algorithms; linear motors; permanent magnet motors; synchronous motor drives; FEM verification; auxiliary poles; detent force reduction; genetic algorithm; high force tubular PMLSM; high force tubular permanent magnet linear synchronous machines; industrial safety standards; numerical calculations; slot effect; stator teeth; tubular linear drive; Finite element methods; Flywheels; Irrigation; Prototypes; Shafts; Stators; Detent Force; FEM Simulation; Genetic Algorithm; Permanent Magnet Linear Synchronous Motor;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6388713
Filename
6388713
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