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基于数据可视化技术的逆变器用T型滤波器优化设计方法
引用本文:伍家驹,谢波,伍声宇,杉本英彦.基于数据可视化技术的逆变器用T型滤波器优化设计方法[J].中国电机工程学报,2006,26(22):0-91.
作者姓名:伍家驹  谢波  伍声宇  杉本英彦
作者单位:1. 南昌航空工业学院无损检测技术教育部重点实验室,江西省,南昌市,330034
2. 清华大学电机工程与应用电子技术系,北京市,海淀区,100084
3. 福井大学,910-8507,日本
基金项目:国家自然科学基金项目(50467003)。~~
摘    要:以提高滤波器对非线性负载的适应性和整机功率密度为目的,提出一种用四维可视化技术优化非对称T型滤波器的设计方法。优化目标为降低输出阻抗和提高系统功率因数,取值范围由四维表现图的交域构成;截止角频率等约束条件的选择充分考虑到器件的电流负担和电压应力;整个设计过程在四维表现图、两参数变化的根轨迹和Bode图的可视化条件下进行,便于把握多目标函数的变化趋势,进而综合考虑各方面的因素来确定最优解。实验结果和相关数据表明所设计的低通滤波器达到了带约束条件的多目标优化目的,且该方法也可用于类似的工程优化设计。

关 键 词:逆变器  滤波器  四维  可视化  多目标优化
文章编号:0258-8013(2006)22-0085-07
收稿时间:2006-05-24
修稿时间:2006年5月24日

The Design Method Based on Data Visualization Technique to Optimize Performance of T-network Filter Used in Inverter
WU Jia-ju,XIE Bo,WU Sheng-yu,Hidehiko SUGIMOTO.The Design Method Based on Data Visualization Technique to Optimize Performance of T-network Filter Used in Inverter[J].Proceedings of the CSEE,2006,26(22):0-91.
Authors:WU Jia-ju  XIE Bo  WU Sheng-yu  Hidehiko SUGIMOTO
Affiliation:1. Nondestructive Test Key Laboratory of Ministry Education, Nanchang Institute of Aeronautical Technology, Nanchang 330034, Jiangxi Province, China; 2. Electrical Engineering Department, Tsinghua University, Haidian District, Beijing 100084, China; 3. Fukui University, 910-8507, Japan
Abstract:Aimed at improving the filter's adaptability to nonlinear loads and increasing whole device power density, this paper proposes 4-dimension visual technique used as the optimization method in designing non-symmetry T-network filter. The optimization objectives are to reduce output impedance and increase power factor which are incarnated in the overlapped region of 4-D graphs. Cutoff frequency, such constraint conditions, are set with device's current allowance and voltage stress considered. Visualization of 4-D graphs, root locus with two variables and Bode graphs help grasp the change tendency of two objectives easily and get the comprehensive information to determine the optimum solution. Experiment results and relative data supports that lowpass filter designed by such method can reach the optimization objectives under various constraints. This method could be applied to analogous engineering optimization problems.
Keywords:inverter  filter  4-dimension  visualization  multi-objective optimization
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