A Genetic Algorithm Optimized Fuzzy Logic Controller for Shunt Active Power Filter

被引:0
|
作者
Syed, Moinuddin K. [1 ]
Ram, B. V. Sanker [2 ]
机构
[1] SCIENT Inst Technol, Dept EEE, Hyderabad, TS, India
[2] JNTUH Coll Engn & Technol, Dept EEE, Hyderabad, TS, India
关键词
fuzzification; de-fuzzification; shunt APF;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Shunt Active Power Filter (SHAPF) have proven to be indomitably the prominent among the constellation of APFs to resolve power quality aberrations. Investigation for an optimal controller in switching the DC capacitor in APF had been incessant. To achieve the required level of total harmonic distortion (THD), the conventional PI Controller was improved with Fuzzy Logic Control (FLC). Fuzzy logic can be termed as universilization of classical data. In fuzzy logic, also called as diffuse logic, just two alternatives will not be considered but truth values for propositions of complete content. However, tuning the fuzzy membership functions proved to be an obscure and extensive process. This paper presents a Genetic Algorithm optimized Fuzzy Logic Controller (GA-FLC) ameliorating the memberships of the heuristic controller giving impetus to the creditable shunt active power filter. This paper presents the importance of fuzzy controller to reduce total harmonic distortions in the system with shunt active filter. Total harmonic content in source current was shown when the shunt active filter was implemented with fuzzy controller. THD was limited with the use of fuzzy controller than compared to PI controller.
引用
收藏
页码:1892 / 1896
页数:5
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