OPTIMUM DESIGN FOR IMPROVEMENT OF PM-TYPE LONGITUDINAL FLUX LINEAR MOTOR USING THE STATISTICAL METHODS

Permanent Magnet (PM) type Longitudinal Flux Linear Motors (LFLMs) are electromagnetic devices which can develop directly powerful linear motion. This paper presents statistical optimum design of PM type LFLM to reduce the weight of the machine with the constraints of avg. thrust force using the penalty method with characteristics function and Response Surface Methodology (RSM). The contribution and effect of the each design variable on the characteristic function is evaluated by the analysis of means (ANOM) and optimum design set is determined. The reduced gradient algorithm is adopted in RSM. Therefore, it is expected that the proposed optimization procedure using penalty method and RSM can be easily utilized to solve the optimization problem with constraint of electric machine.