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平行测量:复杂测量系统的一个新型理论框架及案例研究
引用本文:尹培丽, 王建华, 陈阳泉, 王飞跃. 平行测量:复杂测量系统的一个新型理论框架及案例研究. 自动化学报, 2018, 44(3): 425-433. doi: 10.16383/j.aas.2018.c170192
作者姓名:尹培丽  王建华  陈阳泉  王飞跃
作者单位:1.西安工业大学机电工程学院 西安 710021 中国;;2.加利福尼亚大学默塞德分校工程院 默塞德 95343 美国;;3.中国科学院自动化研究所复杂系统管理与控制国家重点实验室 北京 100190 中国;;4.国防科学技术大学军事计算实验与平行系统技术中心 长沙 410073 中国;;5.中国科学院大学中国经济与社会安全研究中心 北京 101408 中国
基金项目:陕西省自然科学基础研究计划2015JM5190国家自然科学基金51475351陕西省科技统筹创新工程计划项目2015KTCQ01-97
摘    要:分析了复杂测量系统的溯源研究现状,指出现有的研究已不能满足复杂测量系统的动态化溯源需求,提出了建立人工测量系统的必要性.基于ACP(Artificial societies,computational experiments,and parallel execution)方法建立了平行测量系统的理论框架,通过构建与物理测量系统行为和特性等价的人工测量系统,借助人工测量系统的计算实验,确定测量优化控制策略,引导物理测量系统的运行,并进行评估,实现物理测量系统和人工测量系统的平行执行和平行控制,将物理测量系统溯源至人工测量系统的理论模型上,解决复杂测量系统的溯源问题.并以齿轮在位测量系统为例,对平行齿轮测量系统进行了设计和平行控制研究.

关 键 词:复杂测量系统   溯源   平行测量   人工测量系统   平行控制
收稿时间:2017-04-11

Parallel Measurements: A New Theory and Framework for Complex Measurement System and A Case Study
YIN Pei-Li, WANG Jian-Hua, CHEN Yang-Quan, WANG Fei-Yue. Parallel Measurements: A New Theory and Framework for Complex Measurement System and A Case Study. ACTA AUTOMATICA SINICA, 2018, 44(3): 425-433. doi: 10.16383/j.aas.2018.c170192
Authors:YIN Pei-Li  WANG Jian-Hua  CHEN Yang-Quan  WANG Fei-Yue
Affiliation:1. School of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China;;2. School of Engineering, University of California, Merced 95343, USA;;3. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;;4. Research Center of Military Computational Experiments and Parallel System, National University of Defense Technology, Changsha 410073, China;;5. Center of China Economic and Social Security, The University of Chinese Academy of Sciences, Beijing 101408, China
Abstract:The necessity of artificial measuring system is presented by analyzing the state of the art on the traceability for complex measuring systems and pointing out the fact that the current studies cannot meet the requirement of dynamic traceability of a complex measurement system. A theoretical framework of parallel measuring system is proposed based on the ACP (Artificial societies, computational experiments, and parallel execution) method. By constructing an artificial measuring system equivalent to physical measuring system in behaviors and characteristics, computational experiments of artificial measuring system are utilized to determine the optimal control strategy and to guide and evaluate the implementation of the physical measuring system, leading to final realization of the parallel execution and parallel control between the physical and the artificial measuring systems. The physical measurement system can be traced back to the theoretical model of manual measurement system to solve the problem of traceability of complex measuring system. Taking an in-site gear measuring system as an example, a parallel gear measuring system is designed and its parallel control is studied.
Keywords:Complex measuring systems  traceability  parallel measurement  artificial measuring system  parallel control
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