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基于粒子群优化算法的工频陷波滤波器的设计 被引量:1

Design of Notch Filter Based on Particle Swarm Optimization Algorithm
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摘要 阐述一种基于粒子群算法的50Hz工频陷波滤波器优化设计,依据工频陷波滤波器的幅频响应与理想幅频响应之间均方误差最小化原则,采用粒子群算法,计算陷波滤波器的系数。 This paper describes an optimal design of 50 Hz power frequency notch filter based on particle swarm optimization algorithm. According to the principle of minimizing the mean square error between the amplitude frequency response and the ideal amplitude frequency response of power frequency notch filter, particle swarm optimization algorithm is used to calculate the coefficients of notch filter.
作者 周飞红 廖子贞 彭琼 ZHOU Feihong;LIAO Zizhen;PENG Qiong(School of Information and Electrical Engineering,Hunan International Economics Niversity,Hunan 410205,China;Information Center,Changsha Human Resources and Social Security Bureau,Hunan 410011,China)
出处 《电子技术(上海)》 2022年第1期10-11,共2页 Electronic Technology
基金 湖南省教育厅科学研究项目(18C1092,18B523) 教育部产学合作协同育人项目(201902289010)。
关键词 粒子群 工频 陷波滤波器 particle swarm optimization power frequency notch filter
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