基于db4小波变换和双ARM Cortex-M的电能质量分析系统

摘要

研究并开发了基于双ARM Cortex-M平台、利用小波变换检测暂态扰动电信号的电能质量分析系统原型.首先利用Mallat算法对电能信号进行离散小波分解,计算并比较高频区间的模极大值,进而确定扰动发生时间点并进行录波.在双ARM Cortex-M硬件平台上对该检测扰动的算法进行验证,通过电压中断和暂态振荡两种输入信号模型对系统进行测试,结果表明系统能在2ms内检测到电信号的突变,能准确实时地检测到暂态扰动出现的时刻.%This paper studies transient power quality monitoring making use of wavelet transform and develops a prototype system based on dual ARM Cortex-M embedded platform to measure abrupt signal changes.The system uses Mallat arithmetic to perform discrete wavelet transform on the power signal,calculates and compares the modulus maximum in high frequency section,then defines the accurate time when the abrupt changes happens.The disturbance measuring arithmetic is tested and verified on the system under two input modes:abrupt voltage interruption and transient surge disturbance.Result shows the system can detect the change in 2 ms in both cases and proves that the system is real time and accurate in measuring and analyzing transient power quality.