【摘要】 传统L滤波存在滤波效果较差等缺点,设计LCL滤波器进一步降低高频开关频率的谐波损耗。当整流器的控制参数数量和优化目标函数增多时,传统粒子群优化算法(PSO)调节滤波器和控制器参数会出现迭代收敛不稳定等缺点,提出一种多目标多群体多位置多速度粒子群算法(MMMMPSO),可以有效优化三相VIEN-NA整流器设计参数,提高系统的动态和稳态特性。最后仿真和实验验证了该整流器的高效性及MMMMPSO的正确性。更多还原

【Abstract】 The traditional L filter has the disadvantages of poor filtering effect, and the LCL filter is designed to further reduce the harmonic loss of the high frequency switching frequency. When the number of control parameters of the rectifier and the optimiza-tion objective function increase, the traditional particle swarm optimization( PSO) algorithm can adjust the filter and controller parame-ters, there are disadvantages such as unstable convergence of the iteration. An improved multi-objective multi-group multi-position multi-velocity particle swarm optimization( MMMMPSO) algorithm is proposed to effectively optimize the design parameters of three-phase VIENNA rectifiers and improve the dynamic and steady-state characteristics of the system. Finally, the simulation and experi-ments verify the efficiency of the rectifier and the correctness of MMMMPSO.更多还原