| 被动式激光跟踪测量方法及其误差补偿技术 |
| Passive Laser Tracking Measurement Method and Error Compensation Technology |
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| 中文摘要: |
| 针对主动式激光跟踪仪跟踪测量系统复杂、研制成本高的问题，提出了被动式激光跟踪方法用于测量目标点的空间坐标。首先基于HTM方法建立被动式激光跟踪测量系统的误差分析模型，提出相关误差参数的检测方法，在对测量误差进行补偿后，被动式激光跟踪测量系统的空间坐标测量误差从550 μm降低为150.8 μm。为进一步提升测量精度，采集经误差补偿后的残余误差作为样本数据，利用BP神经网络对样本数据进行训练；利用训练好的BP神经网络模型对被动式激光跟踪测量系统的残余误差进行补偿，空间坐标测量误差从150.8 μm降低为51.6 μm。相较HTM误差补偿方法，HTM+BP神经网络模型的补偿效果提升了65.8%。 |
| 英文摘要: |
| Considering the complex tracking measurement system and high development cost of active laser tracker, a passive laser tracking method is proposed to measure the spatial coordinates of target points. Firstly, the error analysis model of the passive laser tracking measurement system was established according to HTM principle, and the detection method of relevant error parameters was proposed. The measurement error of the passive laser tracking measurement system was reduced from 550μm to 150.8μm after error compensation. In order to further improve the measurement accuracy, residual errors after error compensation were collected as sample data, and BP neural network was used to train the sample data. After the residual error of the passive laser tracking system was compensated by the trained BP neural network model, the measurement error of spatial coordinate measurement was reduced from 150.8μm to 51.6μm. Compared with HTM error compensation method, the compensation effect of HTM+BP neural network model is improved by 65.8%. |
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| 中文关键词: 被动式激光跟踪 空间坐标测量 误差分析 BP神经网络 |
| 英文关键词:passive laser tracking, spatial position measurement, error analysis, BP neural network |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2021.05.03 |
| 引用本文：娄志峰，耿万佳,张记云，林钰琪，范光照，王晓东.被动式激光跟踪测量方法及其误差补偿技术[J].计测技术,2021,(5):. |
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