一种改进型自适应畸变电流检测方法的研究

由于有源电力滤波器对畸变电流的检测除了要求较高的精度和较好的实时性外,还要求当负载发生变化时要有良好的跟踪检测能力,因此提出了一种将自适应噪声抵消技术与自适应线性神经网络相结合的自适应单相电路畸变电流的检测方法。介绍了该检测方法的原理、构成和算法等,并通过仿真软件MAT-LAB中的Simulink模块对检测系统进行了仿真研究,仿真结果证实了该检测方法具有检测精度高、动态响应快和自适应跟踪能力强等优点。

Study on an Improved Adaptive Single-phase Distortion Currents Detecting Method

Since active power filter requires its detection system not only with high accuracy and rapid detection for distortion currents but also with well following detecting ability when load currents are changing,this paper presents an adaptive single-phase distortion currents detecting method based on the adaptive noise canceling technology and the adaptive linear neural network theory.Principle,structure and algorithm of the detecting method are introduced.And the paper sets up a simulation model of the proposed detecting system by using MATLAB and gives the simulation waveform.The simulation results substantiate the detecting method with the faster dynamic response,the higher detecting precision and the better adaptive following detecting ability and so on.