Design And Comprehensive Optimization Of Maglev High-speed Permanent Magnet Generator

The maglev high-speed permanent magnet generator(HSPMSG)used in organic Rankine cycle(ORC)generation system has high speed,high power density and works in special environment.The design of which should consider multi-physical performances comprehensively.This research presented a comprehensively optimization design method of HSPMSG.The research works are as following.Firstly,the topological structure of HSPMSG was selected.According to field-critical method,the structure size of stator and rotor was designed.The operating parameters of HSPMSG under different load were analyzed using finite element method(FEM).The effectiveness of above design methods were examined based on an electromagnetic testing of an experimental system which has two mechanically connected maglev electric machines.Secondly,the performances of maglev HSPMSG rotor strength and dynamics were analyzed.According to the different operating characteristics of rotor,the analytical method was used to deign rotor sleeve and magnitude of interference,the reliability of which was verified by FEM.The accurate 3D FE rotor model was established through modal test and model updating method.The dynamical performance of maglev rotor was predicted and all of which meet design requirements.In order to obtain the stator loss in high operation frequency,the loss characteristic curve of used silicon steel sheet was test.Based on the testing result and FEM,the electromagnetic loss of HSPMSG under different load was calculated.The wind friction loss of rotor was calculated and the relationship between inlet wind speed and loss was analyzed by the combination of FEM and analytical method.The cooling system of HSPMSG was designed combining with the applicated ORC system.The overall cooling solutions was researched and finally determined based on the comparison of different cooling mediums and structures.Comprehensively using CFD?FEM and equivalent heat critical method.,the parameter of cooling system was designed.The temperature of HSPMSG under rectifier load was analyzed through FEM,which all meet the design requirement.Finally,to solving the problem of high rotor loss of HSPMSG,the structure of stator and rotor was comprehensively optimized.Isight software was used to integrate analytical methods of multi-physics performances and the agent model for each performance was established based on neural network,which eliminated irrelevant variables in the final optimization.The structure was optimized by adaptive simulated annealing algorithm and the overall rotor loss reduced 15.3%,at the same time,other physical performances all met the constraint conditions.