掘进机随机振动信号同步采集误差补偿方法
Error Compensation Method for Synchronous Acquisition of Random Vibration Signals of Tunneling Machines
蔡玉杰 1杨伦 1刘涛2
作者信息
- 1. 郑州西亚斯学院电信与智能制造学院,河南 郑州 451100
- 2. 中国民航大学电子信息与自动化学院,天津 300300
- 折叠
摘要
掘进机工作环境较为恶劣,振动信号中掺杂大量干扰信号,信号采集过程中存在随机迟滞现象,导致采集的掘进机振动信号误差较大,为此提出一种掘进机随机振动信号同步采集误差补偿方法.将掘进机看作多自由度系统,建立设备的运动学模型;结合掘进机运动学特征,利用虚拟激励法合理构造随机激励函数;在建立的随机激励下,选择传感器类型、安装方式和参数,根据正弦稳态校准方法需求设计校准系统,提高传感器敏感性,预测传感器输出延时,计算每次测量的同步误差和误差补偿值,经过补偿,确保多传感器实现振动信号误差的同步动态补偿.实验结果证明,所提方法减少了随机迟滞,采集到的信号波形与实际波形相符,有效实现了对采集信号的误差补偿.
Abstract
The working environment of roadheader is relatively harsh,with a large amount of interference signals mixed in the vi-bration signal.There is a random hysteresis phenomenon in the signal acquisition process,resulting in a large error in the col-lected roadheader vibration signal.Therefore,a method for compensating roadheader vibration signal error based on multi-sensor data is proposed.Considering the roadheader as a multi degree of freedom system,the kinematic model of the equipment is established;Combining the kinematic characteristics of roadheader,a random excitation function is reasonably constructed us-ing the virtual excitation method;Under the established random excitation,select the sensor type,installation method,and pa-rameters,and design a calibration system based on the requirements of the sinusoidal steady-state calibration method.Improve sensor sensitivity,predict sensor output delay,calculate the synchronization error and error compensation value for each measure-ment.After compensation,ensure that multiple sensors achieve synchronous dynamic compensation for vibration signal errors.Ex-perimental results show that the proposed method reduces random hysteresis,and the collected signal waveform matches the ac-tual waveform,effectively achieving error compensation for the collected signal.
关键词
掘进机/随机振动信号/多传感器/随机激励函数/同步误差补偿Key words
Tunneling Machine/Random Vibration Signal/Multiple Sensors/Random Excitation Function/Syn-chronous Error Compensation引用本文复制引用
基金项目
2022年度河南省重点研发与推广专项(科技攻关)(222102210194)
出版年
2024
NETL
NSTL
维普
万方数据