Nonlinear Permanent Magnet Working Point Migration Model And Its Application In Polarized Magnetic Systems

Polarized magnetic systems(PMSs)containing nonlinear permanent magnets(PMs)are widely used in home applications,industrial controlling,aerospace,and weapons and equipment.However,due to the working point migration phenomenon in nonlinear PMs,the accuracy of calculation results of PMSs con taining nonlinear PMs is not agreed with the proformance of prototype.In this paper,a translating PMS is taken as the research object,a nonlinear permanent magnet working point migration model(PMWPM)is established,and the current fast calculation mod el(FCM)of the PMS is improved by the PMWPM,which improves the calculation accuracy of the PMS static characteristics.Firstly,a PMWPM based on affine transformation according to the displine of nonlinear PM working point migration is established to des cribe the nonlinear PM working point migration phenomenon.Al Ni Co nonlinear PM is utilized as the research object.The working point migration phenomenon of the research object is measured by the quantitative demagnetization experiment and calculated by th e non-linear PM magnetization and demagnetization process finite element method(FEM)simulation model.The measurement and calculation results verify the accuracy of the PMWPM.The establishment of the PMWPM provides a basis to the improvement of the FCM of PMS.Secondly,the physical model of the mixed PM translating PMS is designed and determined.Based on the physical model,the static and dynamic virtual prototyping model of the translating PMS is established by the FEM software ANSYS and the numerical simulation software MATLAB/Simulink.A FCM of PMS is established based on the equivalent magnetic circuit(EMC).The FCM of PMS is improved by the preceding PMWPM.The calculation result is compared with the measurement result of the prototype model,verifying the accuracy of the improved PMS calculation model.Lastly,the dimensional parameters of the PMS are selected,and the influence of different dimensional parameters on the static performance of the PMS is studied.The multi-objective optimization problem of the dimensional parameters of the PMS is proposed;the principle of the original differential evolution(DE)algorithm is applied.For multi-objective optimization problems,a multi-objective DE algorithm based on adaptive weight multi-group strategy is proposed by adopting adaptive weight multi-group strategy and niche concept.The feasibility of the improved DE algorithm is verified by using test function;The improved DE algorithm is applied to optimize the multi-objective optimization problem of the dimensional parameter of the PMS,and optimal solution set of the dimensional parameter is obtained.The optimization result improves the static performance of the PMS.