The Optimization of Thrust Force and Cogging Force In Permanent Magnet Linear Motor By Using of Analytical and Neural-Genetic Methods

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.

Keywords:

Linear Brushless Permanent Magnet Motor , Cogging Force , Thrust force , Analytical methods , Neural network , Genetic algorithm