摘要
提出了一种针对运行在传动链系统中的发电机智能反演优化设计方法,并以一台运行在传动链系统中的15 kW永磁同步发电机为研究对象,针对其运行效率对发电机的设计参数进行优化.首先,在充分考虑变流器侧对整个传动链系统的影响下,建立了面向传动链系统的协同仿真建模平台,验证了传动链的电磁设计参数与协同仿真计算平台的正确性;其次,通过方差分析从发电机的8个设计参数中选定6个敏感参数,并在选定优化变量后提出了一种基于遗传算法优化的拉丁超立方抽样方案,该抽样方案可以兼顾样本空间均匀分布与各变量维度投影的均匀性;然后,通过基于高斯随机过程的智能反演优化设计模型结合基于范围选择的多目标优化算法,获得发电机的效率与最大额定输出转矩的Pareto前沿,并针对优化后的齿槽参数进行绕组设计,结果显示优化后的效率为96.2%,对比其原始设计方案,发电机电磁损耗降低了16.8%,效率提高了0.6%;最后,通过实验验证了仿真平台的准确性,进一步说明了样本数据与优化设计的有效性.所提设计方法可针对不同规格的大型传动链系统展开优化设计,其优化方法具有一定的普适性,可用于我国海上大型传动链系统的一体化精确仿真计算与流程化优化设计.
In this paper,an intelligent inversion optimization design method for generators running in the transmission chain system is proposed,and a 15 kW permanent magnet synchronous generator running in the transmission chain system is taken as an example to verify the method by optimizing the design parameters of it for increasing its operating efficiency.Firstly,under full consideration of the influence of the converter side on the transmission chain system,a co-simulation modeling platform for the transmission chain system is established,and the correctness of the electromagnetic design parameters of the transmission chain and the accuracy of co-simulation computing platform are verified.Secondly,six sensitive parameters are selected from the eight design parameters of the generator by variance analysis and a Latin hypercube sampling scheme based on genetic algorithm optimization is proposed after selecting the optimization variables.This sampling plan can balance the uniform distribution of the sample space and the uniformity of the projection of each variable dimension.Then,through the intelligent inversion optimization design model based on the Gaussian stochastic process combined with the PESA-Ⅱmulti-objective optimization algorithm,the Pareto frontier of generator efficiency and maximum rated output torque is obtained,and winding design according to the optimized cogging variable is carried out.The results show that the optimized efficiency is 96.2%,which is increased by 0.6%compared with its original design,and the electromagnetic loss of the generator is reduced by 16.8%.Finally,the accuracy of the simulation platform is verified by experiments,which further illustrates the effectiveness of the sample data and the optimal design.The design method proposed in this paper can be optimized for large-scale transmission chain systems of different specifications.The optimization method has certain universality and can be used for integrating accurate simulation calculation and process optimization design of large-scale offshore transmission chain systems in our country.
作者
刘晓
卜凡
林娉婷
张博
郭超
黄守道
LIU Xiao;BU Fan;LIN Pinting;ZHANG Bo;GUO Chao;HUANG Shoudao(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;College of Electrical Engineering,Hunan Mechanical&Electrical Polytechnic,Changsha 410151,China)
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2023年第4期114-124,共11页
Journal of Hunan University:Natural Sciences
基金
国家重点研发计划资助项目(2019YFB1503700)
湖南自然科学基金-科教联合资助项目(2019JJ70063)。
关键词
永磁同步电机
有限元分析
智能反演
代理模型
多目标优化
permanent magnet synchronous motor(PMSM)
finite element analysis
intelligent inversion
surro⁃gate model
multi-objective optimization
