Hao Huiyan, Liu Wenyu, Xu Peng, Zhao Hui
School of Information and Communication Engineering, North University of China, Taiyuan 030051, China.
Sensors (Basel). 2022 Aug 31;22(17):6573. doi: 10.3390/s22176573.
The exit velocity of the armature is an important indicator in measuring the launching performance of the electromagnetic gun. The non-contact photoelectric detection technology with the use of a laser screen was applied to the measurement of the armature velocity of the electromagnetic gun. By means of taking the signals that pass through the laser screen obtained by the velocity measurement system as the research object, we solved problems such as the harsh test environment of the launch armature velocity of the electromagnetic gun, the interferences on the armature signal passing through the laser screen unavoidably caused by various factors such as vibration, electromagnetic interference, shock wave, flare, smoke and fragments, and even the non-recognition of the signal passing through the laser screen in severe cases. A data-processing algorithm that combines the Ensemble Empirical Mode Decomposition (EEMD) with Correlation Algorithm (CA) was proposed, with the aim of processing the signals passing through the laser screen, while using the maximum slope point as the time passing through the laser screen so as to calculate the velocity of the armature passing the laser screen. This method can effectively reduce the influence of interference on the test results, and the test results from two sets of velocity measuring systems show that the velocity obtained by the proposed approach is highly consistent.
电枢的出膛速度是衡量电磁炮发射性能的一个重要指标。利用激光光幕的非接触式光电探测技术被应用于电磁炮电枢速度的测量。通过将速度测量系统获取的穿过激光光幕的信号作为研究对象，我们解决了诸如电磁炮发射电枢速度测试环境恶劣、振动、电磁干扰、冲击波、火光、烟雾和碎片等各种因素不可避免地对穿过激光光幕的电枢信号产生干扰，甚至在严重情况下出现对穿过激光光幕的信号无法识别等问题。提出了一种将总体经验模态分解（EEMD）与相关算法（CA）相结合的数据处理算法，用于处理穿过激光光幕的信号，同时以最大斜率点作为穿过激光光幕的时间，从而计算电枢穿过激光光幕的速度。该方法能有效降低干扰对测试结果的影响，两组速度测量系统的测试结果表明，所提方法得到的速度具有高度一致性。
