Multi-objective Optimization Design And Analysis Of Axial Magnetic Field Permanent Magnet Memory Moto

Recently,the goals of "carbon peak" and "carbon neutralization" is approaching,the ministry of industry and information technology and other departments jointly issued the motor energy efficiency improvement plan(2021-2023).The requirements of motor performance are expected to be further improved.The motor design when considering one objective has been difficult to meet the actual design requirements.The multi-objective optimization design has become an important way to achieve the goal of high efficiency and energy saving.A new AFPMMM as the research object in this paper,a combination of the basic theoretical derivation of the motor and the multi-objective hierarchical optimization analysis method are proposed.Finally,the optimized motor model is verified by finite element method(FEM).The magnetic adjustment experiment of the prototype is carried out through the magnetic adjustment device.According to the analysis of the experimental results,the correctness of the theory is verified.The main research contents of this paper are as follows:1.This section described the research background and significance,which include the research status of axial flux memory motor structure at home and abroad.The research status of analytical calculation of motor air gap magnetic field,hysteresis model and optimization method are analyzed,and the main research contents of this paper is summarized.2.By analyzing the structure and operation principle of AFPMMM,the relationship between motor performance and motor structure size is deduced.An analytical calculation method of magnetic density combined with superposition principle is proposed.By combining the analytical results of air gap magnetic density with an approximate piecewise linear hysteresis model with parallelogram return line,the magnetic regulation performance of the motor can be simulated more conveniently.Finally,the analytical results are compared with the FEM simulation results.The principle analysis and analytical calculation of motor are the basis of research and provide basis for optimization analysis.3.Determine the initial optimal design scheme of the motor.By analyzing the relationship between electromagnetic performance and motor structure size,the optimization parameters are preliminarily selected.An optimization idea combining power size equation,sensitivity analysis of parameters and multi-objective stratification is proposed.The response surface experiment is used to obtain the influence relationship of the optimization parameters on the optimization objectives and the optimization scheme.Finally,combined with the FEM results,the feasibility and effectiveness of the experimental method are verified.4.The improved NSGA-Ⅱ-M is used for multi-objective hierarchical optimization design,which is compared with the response surface method.It is proposed to introduce bounded random penalty function into NSGA-Ⅱ algorithm to punish the offspring with poor quality to form NSGA-Ⅱ-M algorithm.The same optimization parameters and objectives as those in response surface experiment are used to fit the functional relationship model between optimization parameters and optimization objectives to form NSGA-Ⅱ-M.the improved algorithm makes its solution more preferred on the basis of preserving diversity.5.The magnetic regulation characteristics of the optimized motor are analyzed.Combined with the hysteresis model,analytical calculation model and finite element simulation results,the magnetic regulation characteristics are studied.Finally,the magnetic regulation experiment is carried out on the prototype through the magnetic regulation device,and the experimental research and analysis are carried out to verify the correctness of the theory.