摘要
激光对中仪在机械设备轴对中过程中使用广泛,但在实际测量过程中现场环境会对测量产生干扰,导致测量数据的准确性下降,所以提出了一种基于卡尔曼滤波的轴对中数据最优估计算法。根据激光对中仪基本原理建立了双LD/PSD激光对中仪的数学模型,分析了不同干扰因素对测量过程的影响及卡尔曼滤波算法对测量数据进行最优估计的过程。在实验中,首先将机组设置成不对中状态,并测量其前后地脚调整量,分别使用经过卡尔曼滤波的测量数据和未经滤波的数据通过激光对中数学模型进行计算。结果表明,使用经过卡尔曼滤波后的测量数据计算得出的前后地脚调整量更接近实际测量前后地脚调整量,其前水平、前垂直、后水平、后垂直地脚调整量正确率分别提升0.51%,1.35%,0.45%,0.99%。
Laser alignment instrument is widely used in the process of axis alignment of mechanical equipment,but in the actual measurement process,the field environment will cause interference to the measurement,resulting in the accuracy of measurement data decline,so an optimal estimation algorithm of axis alignment data based on Kalman filter is proposed in this paper.Firstly,the mathematical model of the dual LD/PSD laser alignment instrument is established according to the basic principle of the laser alignment instrument.Then,the influence of different interference factors on the measurement process and the process of the optimal estimation of the measurement data by the Kalman filter algorithm are analyzed.Finally,in the experiment,the unit is first set to the misalignment state,and the adjustment of the front and rear feet is measured,and then the measurement data with Kalman filter and the data without filter are respectively used to calculate the laser alignment mathematical model.The results show that the front and rear foot adjustment calculated using the measurement data after Kalman filter is closer to the actual measurement of the front and rear foot adjustment,and the accuracy rate of front horizontal,front vertical,back horizontal and rear vertical foot adjustment is increased by 0.51%,1.35%,0.45%and 0.99%,respectively.
作者
李耀辉
付强
符栋梁
LI Yaohui;FU Qiang;FU Dongliang(School of Energy and Power Engineering,Changsha University of Science and Technology,Changsha 410114,China;CSIS No.704 Research Institute,Shanghai 200031,China)
出处
《激光杂志》
CAS
北大核心
2023年第9期194-198,共5页
Laser Journal
基金
国家自然科学基金资助项目(No.61603062)。
关键词
激光对中仪
卡尔曼滤波算法
误差估计
laser centering instrument
Kalman filtering algorithm
error estimation
