شماره ركورد كنفرانس :
2857
عنوان مقاله :
Optimum Design of high speed Single-Sided Linear Induction Motor using Particle Swarm Optimization
پديدآورندگان :
Zare bazghaleh A نويسنده , Naghashan M. R نويسنده , Meshkatoddini M. R نويسنده , Mahmoudimanesh H نويسنده
كليدواژه :
Efficiency , Finite-element , Linear Induction Motor , Particle Swarm Optimization , PowerFactory , Weight
عنوان كنفرانس :
مجموعه مقالات چهل و سومين كنفرانس رياضي كشور
چكيده فارسي :
Linear induction motors are used in various
industries but the low efficiency and low power
factor are their major problems. These two
problems become more baneful in high power and
high speed applications. For example in transport
industry, they lead to high energy consumption
and high input current that occupy transmission
line capacity. Thus it is necessary to improve
efficiency and power factor, furthermore, the
decrease in weight, cause to lower cost and better
performance of linear induction motors. In this
paper two different multi objective functions are
developed. One of these objective functions will
improve power factor and efficiency and the other
one will decrease the weight of the motor. This
procedure is done by analytic method and using
particle swarm optimization technique. In this
paper a new equivalent circuit model has been
used that include all of specific effects of singlesided
linear induction motors. Results show the
accuracy of the equivalent circuit model and the
improvement of objective functions at the end of
optimization procedure. Two-dimensional finiteelement
analysis evaluates the analytical result
شماره مدرك كنفرانس :
1984205