单神经元变步长控制算法在谐波检测中的应用  

Single Neuron and Variable Step Size Control Algorithm Used in Harmonic Detection

作　　者：陈佳锋[1] 黄挚雄[1] 李志勇[1] 谭俊敏[1] 

机构地区：[1]中南大学,信息科学与工程学院,湖南长沙410075

出　　处：《电力电子技术》2011年第4期43-45,63,共4页Power Electronics

基　　金：湖南省科技厅基金项目(00JKY1010);湖南省自然科学基金资助项目(00JJY2056)~~

摘　　要：提出了基于单神经元的变步长自适应谐波检测方法,充分利用单神经元具有的自学习、自调节、自组织能力的优点,运用变步长自适应控制算法,通过实时在线调节步长,达到系统本身自调节以应对电网参数的突变。同时,以TMS320F2812型DSP为核心搭建了检测分析平台,实时检测分析电力谐波次数;运用CAN总线将分析结果实时传送到上位机显示,达到实时监控目的。通过实验装置检验,可准确地分析出任意次数的谐波分量,为谐波补偿提供重要依据。A harmonic detection method of adaptive variable step control algorithm based on single neuron is proposed,which has the advantages of a single neuron,such as self-learning,self-regulating,self-organizing capacity.The use of variable step size adaptive algorithm real-time online control steps.Meanwhile,with the company of TI fixed-point digital signal processor TMS320F2812 as a platform,real-time detection of power harmonic frequency,using CAN bus to trans mitreal-time PC analysis show that to achieve real-time monitoring.Through the experimental device testing,any number of harmonic components can be accurately analyzed,which providing an important basis for the harmonic compensation.

关 键 词：单神经元 变步长 自适应 谐波检测 

分 类 号：TM933.4[电气工程—电力电子与电力传动]