基于随机共振的大件平板受力信号提取  

Force signal extraction of large plate based on stochastic resonance

作　　者：马麟 谢维成 唐圣也 杨加国 曾传华 蒋文波 MA Lin;XIE Wei-cheng;TANG Sheng-ye;YANG Jia-guo;ZENG Chuan-hua;JIANG Wen-bo(College of Electrical and Electronic Information,Xihua University,Chengdu 610039,China;College of Information Science and Engineering,Chengdu University,Chengdu 610106,China)

机构地区：[1]西华大学电气与电子信息学院,四川成都610039 [2]成都大学信息科学与工程学院,四川成都610106

出　　处：《传感器与微系统》2018年第8期61-63,69,共4页Transducer and Microsystem Technologies

基　　金：四川省教育厅自然科学重点资助项目(15ZA0127);教育部"春晖计划"项目(Z2015115);国家自然科学基金资助项目(61307063);四川省信号与信息处理高校重点实验室开放基金资助项目(SZJJ2015-072);西华大学创新创业项目(2017045);西华大学创新基金资助项目(YCJJ2017174)

摘　　要：针对大件受力检测中的直流输出电压信号淹没在噪声中,导致提取结果不准确,提出了一种周期性脉宽调制(PWM)波结合随机共振提取直流微弱信号的方法。通过PWM波将原始信号调制成待测信号,利用随机共振系统检测待测信号;通过低通滤波器对输出信号进行滤波;还原有用信号。经过仿真实验分析,对比传统直流微弱信号检测方法,提出的方法信号提取结果的误差较小,可达到检测的目的。Aiming at the DC output voltage signal is submerged in noise in bulky force detection which results in inaccurate results, put forward a kind of method combines periodic pulse-width modulation （ PWM ） wave with stochastic resonance for DC weak signal extraction. The original signal is modulated into the signal to be measured by PWM wave. The random resonance system is used to detect the signal to be measured, and the output signal is filtered by low-pass filter, and the useful signal is restored. Through simulation experiment analysis, compare with traditional DC weak signal detection method, the error of extracted results by this method is less than that of traditional weak signal detection method, and it can achieves the Dumose of detection.

关 键 词：金属丝应变片 微弱信号 脉宽调制 随机共振 大件受力 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]