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矩阵变换器输入滤波器的多目标优化设计

An Multi-objective Optimized Design of Input Filter of Matrix Converter

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【作者】 粟梅孙尧覃恒思张泰山

【Author】 SU Mei, SUN Yao, QIN Heng-si, ZHANG Tai-shan (School of Information Science &Engineering of Central South University, Changsha 410083, Hunan Province,China)

【机构】 中南大学信息科学与工程学院中南大学信息科学与工程学院 湖南省长沙市410083湖南省长沙市410083

【摘要】 在深入分析滤波器对系统物理本质影响的基础上,选取了适当的滤波器结构,归纳、总结和完善了矩阵变换器输入滤波器的设计原则。提出一种输入滤波器的多目标优化设计方法。该方法以确保系统稳定、谐波总畸变率低、避免开关频率谐波电流造成滤波器谐振为约束,以工程费用、基频压降、基频相移、功率稳定裕量和阻尼电阻功耗为目标。从矩阵变换器系统稳态数学模型出发,推导出各项性能指标及约束条件的解析表达式。提出采用基于Pareto最优的非劣排序遗传算法(NSGA-II),并对此算法的约束处理作了改进。开发了通用的基于Pareto最优的输入滤波器的多目标优化算法软件,给出了具体优化实例,并对优化结果进行了分析。

【Abstract】 Based on analyzing the influence of input filter on matrix converter system, the design guideline of input filter for matrix converter, as well as the proper filter topology, is deduced and generalized. An optimized design method is proposed. The constraints are assurance of stability, minimization of total harmonic distortion, avoidance of resonance caused by harmonic current at the switching frequency, while the objects are construction cost, base frequency voltage drop, base frequency voltage phase shift, stability margin of power and the power consumed by filter resistance. The analytical descriptions of constraints and objects are achieved from the steady-state model of matrix converter. Based on Pareto Optimization, a Non-dominated Sorting Genetic Algorithm (NSGA-II) is presented, which is improved for handling constraints. A multi-object optimizing software for input filter design is developed. The design procedure is detailed in a given example and the result obtained is analyzed.

【基金】 国家自然科学基金项目(60674065);湖南省自然科学基金项目(05JJ30102)~~
  • 【文献出处】 中国电机工程学报 ,Proceedings of the CSEE , 编辑部邮箱 ,2007年01期
  • 【分类号】TM46
  • 【被引频次】53
  • 【下载频次】789
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