Design of Inserted Core Type Slotless PMLSM for Detent Force Minimization by using Neural Network

摘要

This paper shows the minimization technique of detent force in inserted core type slotless Permanent Magnet Linear Synchronous Motor (PMLSM) by using neural network. In general, detent force affected in noise and vibration on Permanent Magnet (PM) linear machine. The width of coil and that of permanent magnet were adjusted to reduce detent force. Optimum value was calculated by neural network. It could be also easily calculated without time-consuming efforts. The results with neural network well corresponded to those of 2 Dimensions Finite Element Method (2D-FEM).