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混合电力滤波系统同时具备无源滤波器的低廉成本和有源滤波器的良好滤波效果,但其综合性能受无源滤波器参数优化程度的影响很大。文中提出一种基于自适应遗传算法和PSpice仿真的无源滤波器优化设计新方法,其核心是基于元件标称值的高效编解码方案,基于权值均匀设计、动态调整和PSpice仿真的多目标合成与评估方法,以及兼顾种群多样性和遗传进程的遗传概率自适应策略。仿真结果表明,该方法可获得经过优化的实用性设计结果。
The hybrid power filter system has both the low cost of passive filters and the good filtering effect of active filters, but its overall performance is greatly affected by the optimization of passive filter parameters. In this paper, a new method of passive filter optimization design based on adaptive genetic algorithm and PSpice simulation is proposed. The core of the new method is efficient coding and decoding scheme based on element nominal value, multi-target based on uniform weight design, dynamic adjustment and PSpice simulation Synthesis and evaluation methods, as well as genetic probability adaptive strategies that take into account the diversity of populations and genetic processes. The simulation results show that this method can obtain the optimized practical design results.