Abstract
This paper studies an optimal design of a tubular linear induction motor (TLIM) to improve motor thrust and reduce weight using the response surface methodology (RSM) and genetic algorithm (GA). RSM is used to construct an analytical model for motor weight and thrust and also enable to create of objective functions easily. To calculate the coefficients of the second-order analytical model obtained from RSM, the finite element method (FEM) is applied for numerical experiments on geometrical design variables. GA is used as a search tool to optimize the design of a tubular linear induction motor to improve motor performance and reduce weight.
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