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基于模糊推理的自适应单相谐波检测方法 被引量:1

Self-adapting single phase harmonic detecting based on fuzzy reasoning
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摘要 LMS算法被广泛应用于自适应谐波检测方法中。为提高LMS算法的收敛速度,依据模糊推理原理,获得一种新的变步长自适应算法。将新的自适应算法应用到单相有源滤波器的谐波检测中,能够获得较高的稳态精度和较快的动态响应速度。通过仿真,验证了基于模糊推理的新型自适应谐波检测方法的有效性。 The method of least mean square (LMS) is widely used in self - adapting harmonic detecting. A new kind of variable step size self-adapting approach was proposed based on fuzzy reasoning in order to in-crease convergence ratio of LMS. The new approach was applied to measure harmonic of single active filter and by which higher steady precision and rapid respond can be obtained. The simulation showed that the approach is effective in measuring harmonic.
作者 杜丽 李志军
出处 《黑龙江电力》 CAS 2007年第6期461-463,共3页 Heilongjiang Electric Power
关键词 自适应滤波 变步长 模糊推理 谐波 self - adapting filter variable step size fuzzy reasoning harmonic
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