基于互相关的大型机组轴系激光对中微弱信号提取方法研究

为提高自主研发的大型机组轴系激光对中仪的对中精度，减少由位置检测单元（PSD）受杂散光干扰引起的误差，提出一种基于互相关算法的微弱信号提取方法。建立基于互相关算法的数学模型，并设计模拟电路，实现了大型机组轴系激光对中仪的位置误差补偿；搭建实验测试系统获取PSD坐标数据，使用二维精密微位移平台进行重复性实验验证，对测量数据进行分析。实验结果表明，该方法可以在自然光照条件下保证设备的精度，分辨力在0.005 mm内，可以有效地提高大型机组轴系激光对中仪对外界噪声的抗干扰性能。

Study of Cross-correlation Algorithm-based Weak Signal Extraction Method for Laser Alignment of Large Unit

To improve the laser alignment accuracy of a large unit shafting and reduce the errors caused by position sensitive detector (PSD) that is easily interfered by stray light,a weak signal detection algorithm based on cross-correlation algorithm is proposed,the specific mathematical models are established,and the circuits are designed.The position error compensation of laser alignment instrument for large unit shafting is achieved using the mathematical model of cross-correlation algorithm and circuit.To obtain the data of PSD,a 2-D micro-displacement platform was built to test the system.The repeatability tests were completed using the micro-displacement platform,then the measured data was analyzed.The results indicate that the proposed method can ensure the alignment accuracy of the equipment with the resolution of 0.005 mm,and the anti-noise performance of large unit shafting laser alignment instrument can be effectively improved.