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作 者:伍家驹[1] 蔡智恒 谢光元 陈亮亮 WU Jiaju;CAI Zhiheng;XIE Guangyuan;CHEN Liangliang(College of Information Engineering,Nanchang Hangkong University,Nanchang 330063,China;Shenzhen Jingquanhua Electrnics Co.,Ltd.,Shenzhen 518110,China)
机构地区:[1]南昌航空大学信息工程学院,南昌330063 [2]深圳京泉华科技股份有限公司,深圳518110
出 处:《高电压技术》2023年第12期5282-5291,共10页High Voltage Engineering
基 金:国家自然科学基金(51967015,12062014)。
摘 要:小型变压器工况复杂,参数具有多值非线性、环境依赖性和不易检测性,需自行研发。设计对产品性价比的贡献率高达70%,但大多数变压器却仍出自可行设计,优化设计能在诸约束下能兼顾多目标,但其多元非线性方程常既无解析解又难觅有用数值解。因此,该文提出一种可视化算法进行优化设计:用3维空间的色谱对应于第4维的值域,用多目标约束交并集的空间分布来交互择优;为反映漆包线和磁芯市价,提出以窗口矩形系数作为决策变量;为降低损耗成本,以非同心绕组的漏感取代LC滤波器中的电感器。该文给出了设计数据和实验结果,并通过与同类变压器的数据对比来验证优化设计的效果;并结合数学模型,分段给出了程序代码及其所生成的图像,该4维可视化算法能对其他优化设计提供参考。Miniature transformers has complex working conditions,the parameters of which are multi-valued,nonlinear,environmentally dependent and difficult to detect.Therefore,miniature transformers must be designed as the case may be,and the contribution rate of design to product cost performance is as high as 70%.Most transformers are based on feasible design.Optimization design may compromise multi-objective under constraints,whereas,the multi-variable nonlinear equations for the optimization design have neither analytical solutions nor useful numerical solutions easy to find.Con-sequently,we put forward a visualization algorithm for optimization design.The chromatogram in 3D space corresponds to the value range,and the spatial distribution of multi-objective constraint intersection set is used for interactive optimi-zation.In order to reflect the market price of wire and core,the window rectangle coefficient is proposed as the decision variable.In order to reduce the loss cost,the leakage inductance of non-concentric windings is used to replace the induc-tor in LC filter.The design data and experimental results are given,and the effect of optimization design is verified by comparing with the data of similar transformers.Combined with the mathematical model,the program code and the gen-erated image are given accordingly,so that the 4D visualization algorithm can be used as a reference for other optimization designs.
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