The Optimization of Thrust Force and Cogging Force In Permanent Magnet Linear Motor By Using of Analytical and Neural-Genetic Methods
Publish place: 24nd International Power System Conference
Publish Year: 1388
Type: Conference paper
Language: English
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PSC24_009
Index date: 19 March 2010
The Optimization of Thrust Force and Cogging Force In Permanent Magnet Linear Motor By Using of Analytical and Neural-Genetic Methods abstract
In permanent magnet (PM) linear motor, there is force ripple, which is detrimental to positioning. This force ripple is mainly due to cogging force and mutual force ripple. These forces are affected by geometric parameters of brushless PM motor, such as width of magnet, height of magnet, shifted length of magnet pole, length and height of armature and slot width. If flux density distribution can be described by geometric parameters that are related to the force ripple and force ripple is described by the flux density distribution, the optimal design can be done by considering forceripple as cost function and geometric parameters as design variables.
The Optimization of Thrust Force and Cogging Force In Permanent Magnet Linear Motor By Using of Analytical and Neural-Genetic Methods Keywords:
Linear Brushless Permanent Magnet Motor , Cogging Force , Thrust force , Analytical methods , Neural network , Genetic algorithm
The Optimization of Thrust Force and Cogging Force In Permanent Magnet Linear Motor By Using of Analytical and Neural-Genetic Methods authors
Mosa Marzband
National Petrochemical Company
Mohammad Reza Zareh
Islamic Azad University- Shahr-e-Majlesi Branch
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