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Design Optimization And Accelerated Life Test Of Redundant Permanent Magnet Synchronous Generator

Posted on:2020-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y S ZhangFull Text:PDF
GTID:2392330575455877Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Permanent magnet synchronous generator(PMSG)has a series of advantages,such as simple structure,small size,high efficiency and high reliability.It has been widely used in aerospace equipment.In order to further improve the reliability of aerospace power supply system,redundancy technology is applied to the design of PMSG.A dual redundancy permanent magnet synchronous generator(DRPMSG)is designed.Compared with three-phase PMSG,a DRPMSG can supply power for two electrical equipment at the same time,optimize the system space,and provide power backup function to ensure the power supply of important equipment.According to the characteristics of DRPMSG,the main structural parameters and design methods of DRPMSG are studied in this paper.Based on the model of three-phase PMSG,the windings of the motor are redistributed into two three-phase structure.Two sets of three-phase windings are connected with the rectifier separately to form a DRPMSG.By comparing and analyzing the different arrangement of winding structure,the results show that the DRPMSG adopts the arrangement of hemisphere-distributed double-layer windings,with the least coupling between the two windings and the least interaction between the two windings in the case of fault,which has a positive effect on improving the reliability of the motor.In order to further improve the performance of the motor,genetic ant colony optimization(GA-ACO)algorithm is used to optimize the structural parameters of the motor.The parameter selection method of genetic ant colony algorithm is studied,and the algorithm program is compiled,and the algorithm is used to find the minimum of the known function.The results show that the genetic ant colony optimization algorithm has good optimization ability.The algorithm is applied to the optimization design of motor.The optimization objective is to improve the efficiency of motor,reduce the weight of motor and short circuit current.The optimization variables are the main structural parameters of motor.After optimization,a new set of electromagnetic schemes are obtained.The simulation analysis of the motor performance before and after optimization shows that the motor performance is improved after optimizationAiming at the characteristics of high reliability and long life of DRPMSG,the accelerated life test of motor is studied.According to the failure mode and failure mechanism of the motor,the fault tree of the aerospace generator is written,and the weak links of the motor are determined.The analysis shows that the main faults occur in the stator insulation during the operation of the motor.Taking the three stresses of working environment temperature,running speed and output voltage which have great influence on insulation life as accelerating stress,the multi-stress accelerating life distribution model of DRPMSG is established,the selection method of accelerating stress value is studied,the accelerating life test scheme is formulated,and the motor is tested and analyzed.The test results are consistent with the analysis results.
Keywords/Search Tags:Permanent magnet synchronous generator, Redundancy technology, Genetic ant colony algorithm, Accelerated life test
PDF Full Text Request
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