Multiobjective Optimal Design of Switched Reluctance Linear Launcher

In this paper, based on the comparisons of the stator pole flux density and phase current with corresponding rotary switched reluctance machine, the original design scheme of a 1-kW single-side switched reluctance linear launcher (SRLL) is obtained by a traditional method. To get higher efficiency and smaller force ripple, the genetic algorithm, which is improved to enhance the convergence rate and global accuracy, is applied to optimize the original design scheme. The global optimum values of key dimensions and control parameters are obtained, and the detailed structure of whole SRLL is given as well. Then a detailed equivalent lumped-parameter thermal network (LPTN) model of the considered SRLL is built, and temperature rises of some parts are obtained. To test the feasibility of the LPTN model, a 2-D finite element thermal model of the SRLL is built, and the temperature rises are obtained. The results from LPTN model match those from the finite-element method very well. Finally, the preliminary tests of the prototype of designed SRLL are carried out and the experimental results are presented.