Buck-Boost矩阵变换器主电路参数随电流定额的自适应优选方法

针对Buck-Boost矩阵变换器（BBMC）在不同额定输出电流下的主电路参数优化设计问题，提出了一种BBMC主电路参数随其额定电流变化的自适应优选方法.通过建立BBMC优化目标与优化对象间的数学模型，研究基于自适应狼群优化算法的BBMC主电路参数优化设计方法；在此基础上进一步研究确定BBMC主电路优化设计参数与BBMC额定输出电流间的变化规律，为实现不同电流定额下BBMC主电路的优化设计奠定基础；最后通过仿真对上述理论分析进行了验证.

Adaptive Selection Method of a Buck-Boost Matrix Converter's Main Circuit Parameters with Rated Current

In this study, we propose a self-adaptive method for optimizing the main circuit parameters of the buck-boost matrix converter (BBMC) with its rated current to optimize the design of the main circuit parameters of the BBMC under different rated output currents. We study the optimal design method of the BBMC main circuit parameters based on the self-adaptive wolf group optimization algorithm by establishing a mathematical model between the BBMC optimization target and the optimized object; further, we study the variation law between the BBMC optimized design parameters and its rated output current to lay the foundation for obtaining the optimal design of the BBMC main circuit under different current quotas. Finally, we verify the theoretical analysis by a simulation.