系统仿真学报 ›› 2018, Vol. 30 ›› Issue (8): 3042-3049.doi: 10.16182/j.issn1004731x.joss.201808027

• 仿真应用工程 • 上一篇    下一篇

Buck-Boost矩阵变换器主电路及控制参数多目标优化

张小平1, 宋文浩1, 朱红萍2   

  1. 1. 湖南科技大学海洋矿产资源探采装备与安全技术国家地方联合工程实验室,湖南 湘潭 411201;
    2. 湖南科技大学信息与电气工程学院,湖南 湘潭 411201
  • 收稿日期:2017-05-02 出版日期:2018-08-10 发布日期:2019-01-08
  • 作者简介:张小平(1966-),男,湖南株洲,博士,教授,硕导,研究方向为电力电子与电力传动、智能控制等;宋文浩(1993-),男,湖北武汉,硕士生,研究方向为电力电子与电力传动。
  • 基金资助:
    国家自然科学基金(51477047)

Multi-objective Optimization of the Main Circuit and Control Parameters of the Buck-Boost Matrix Converter

Zhang Xiaoping1, Song Wenhao1, Zhu Hongping2   

  1. 1. National-Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology, Hunan University of Science and Technology, Xiangtan 411201, China;
    2. College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
  • Received:2017-05-02 Online:2018-08-10 Published:2019-01-08

摘要: 针对Buck-Boost矩阵变换器主电路参数及相关控制参数进行优化研究。以该变换器主电路参数及相关控制参数为优化对象,以其输出电压波形的谐波失真度、电容电压偏差和电感电流偏差为优化目标,建立了相应的多目标优化满意度函数,基于果蝇算法构建其适应度函数并对其进行优化求解,获得一组最优参数,使各优化目标达到协同最优,通过仿真对其优化效果进行了验证,结果表明:该优化方法优化效果好,具有调整参数少及不易陷入局部最优解等特点和较好的应用价值。

关键词: Buck-Boost矩阵变换器, 主电路参数优化, 控制参数优化, 果蝇算法, 仿真

Abstract: The optimization of main circuit parameters and control parameters of the Buck-Boost matrix converter has been investigated. The study takes the main circuit parameters and control parameters as optimization object and takes the harmonic distortion of output voltage, capacitance voltage deviation and inductance current deviation of the converter as optimization target. Firstly, multi-objective optimization satisfaction function is established correspondingly. Meanwhile, the fitness function is built and solved to achieve a set of optimizing parameters based on the fruit fly algorithm, which makes each optimizing target achieve synergistic optimal. Finally, the optimization effect is verified by simulation. The results show that the optimization method has good optimization effect, fewer parameters to adjust and not easy to fall into a local optimal solution, etc, which proved to be well application value.

Key words: BBMC, main circuit parameters optimization, controls parameter optimization, FOA, simulation

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