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神经模糊控制APF在电力推进船舶中的应用

Application of neural-fuzzy control-based active power filters in electric propulsion ships
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摘要 采用有源电力滤波器(APF)进行谐波抑制与无功补偿,提出一种基于混合神经模糊控制策略的APF,并将之应用到电力推进船舶中。仿真实验结果表明,本文提出的APF较常规APF具有更好的谐波抑制效果,直流侧电压等动态性能更佳。 Active power filter(APF) is introduced to suppress harmonics and compensate reactive power.And a hybrid neural-fuzzy based on APF is proposed and applied in an electric propulsion ship.Simulation results show that the proposed APF has better performance in harmonics suppression and dynamic DC voltage comparing with conventional APFs.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2013年第1期107-110,114,共5页 Journal of Dalian Maritime University
基金 国家自然科学基金资助项目(F030114)
关键词 有源电力滤波器(APF) 电力推进船舶电力系统 神经模糊混合控制 MATLAB仿真 active power filter(APF) power system in electric propulsion ships hybrid neural-fuzzy control MATLAB simulation
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