基于信息融合实现的激光陀螺调腔检测  被引量:1

Detection of laser gyro cavity adjustment using information fusion

在线阅读下载全文

作  者:马立[1,2] 徐次雄[1] 欧阳航空[1] 荣伟彬[2] 孙立宁[2,3] 

机构地区:[1]上海大学机电工程与自动化学院,上海200072 [2]哈尔滨工业大学机器人技术与系统国家重点实验室,黑龙江哈尔滨150080 [3]苏州大学机器人与微系统研究中心,江苏苏州215021

出  处:《光学精密工程》2012年第5期1134-1140,共7页Optics and Precision Engineering

基  金:国家自然科学基金资助项目(No.50905105);机器人技术与系统国家重点实验室开放课题资助项目(No.SKLRS-2010-MS-02);上海大学创新基金资助项目(No.SHUCX112200)

摘  要:考虑激光陀螺调腔人工检测耗时较长、易受干扰,本文建立了激光陀螺自动调腔系统。在分析激光陀螺调腔工艺的基础上,构建了一种由CCD相机和光电倍增管组成的多传感器信息融合体系结构,提出了基于D-S证据理论的激光陀螺调腔检测方法。通过分析计算CCD相机和光电倍增管检测到的信号得出光斑、光阑中心点坐标差值及陀螺损耗值,并由这些信息获得调腔质量的评价函数。然后,根据D-S证据理论对评价函数进行融合处理,分别获得陀螺调腔质量合格与不合格的信度函数,应用最大支持度规则对调腔质量进行综合判断。实验结果显示,基于D-S证据理论的激光陀螺调腔方法检测准确率为91.14%,有效提高了调腔质量,验证了该方法的可行性。An automatic cavity adjustment system was established to improve the quality of laser gyro cavity adjustment and to overcome the drawbacks of manual detection such as low efficiency and low anti-interference capacity.According to the process of the cavity adjustment,a multi-sensor information fusion architecture was established by a CCD camera and a photomultiplier.A detection method of laser gyro cavity adjustment was proposed based on the D-S evidence theory.By analysis and calculation of the signals detected by the CCD camera and the photomultiplier,the center coordinate difference between facula and diaphragm and the loss value of the laser gyro were obtained and the evaluation function for each cavity adjustment result was deduced by these data.Furthermore,the qualified and unqualified belief functions of the cavity adjustment were obtained,respectively,and the quality of the cavity adjustment was verified based on the maximum support rule.The experimental result indicates that the accuracy of the detection method based on D-S evidence theory is 91.14%,which improves the quality of cavity adjustment effectively and validates the feasibility of the proposed method.

关 键 词:激光陀螺 调腔 检测 D-S证据理论 信息融合 

分 类 号:TP391[自动化与计算机技术—计算机应用技术] V241.5[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象