基于LCL滤波器参数优化的PWM整流控制方法研究

Study of PWM rectifier control method based on LCL filter Parameter optimization

为克服传统单L滤波器动态性能差的缺点,提出了用LCL滤波器代替单L滤波器,其优点是可用较小的电感值达到好的滤波效果。首先建立LCL滤波的PWM整流器数学模型,根据传统LCL滤波器的参数选择方法,用MATLAB语言设计了粒子群算法的寻优程序,相比传统的分布设计法和简易设计法,粒子群算法较为简单,通过追随当前搜索到的最优值来寻找全局最优。计算结果表明,粒子群算法较传统算法具有更好的收敛性。

An idea of using LCL filter instead of a single L filter was forward in order to overcome the shortcomings of traditional single L-filter dynamic performance. Good filtering effect was available with a smaller inductance value. Mathematical model of the PWM rectifier of LCL filter based on the selection method of traditional LCL filter parameters was formulated. Particle swarm algorithm optimization program using MATLAB language was designed. Compared to traditional distribution design method and the simple design method, particle award algorithm was relatively simple. The global optimum was found through following the searched current optimal value. The results show that the convergence of particle swarm optimization is higher.