Research Initiation: Adaptive Compensation of In-Process Sensors

研究启动：过程中传感器的自适应补偿

• 批准号: 9009908
• 负责人: Slawomir Spiewak
• 金额: $ 7.5万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-06-01 至 1993-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9009908&HistoricalAwards=false
• 关键词: Research; Initiation; Adaptive; Compensation; Process

The research issue addressed in this research initiation proposal is to develop a design methodology of corrective filters which would recognize and compensate the impact of the working environment on the dynamic characteristics of sensors. Significant improvements in the accuracy and reliability of measurements may be possible with these self-tuning sensors to improve the performance of existing production systems. This approach may be able to improve the feasibility of implementing high performance control, monitoring and diagnosis of manufacturing systems needed for the factories of the future. The systematic approach to the design of self-tuning sensors for manufacturing systems will attempt to advance in-process metrology by integrating two important elements of modern engineering. These elements are: (1) The modeling of sensors installed on particular machine tools as components of multi-degree-of-freedom systems. The derived models, based on first principles, will encapsulate the a priori knowledge about the sensors, machines tools and relevant manufacturing processes; and (2) the time series based, on-line identification of real-time parameters of these models in the presence of stochastic disturbances. The goal of this research is to implement a prototype corrective filter capable of tracking and compensating the impact of the environment on the dynamic performance of typical force and torque sensors. This filter will be built as a high speed, multi-processor system.

本研究启动提案的研究问题是开发一种校正滤波器的设计方法，该方法可以识别和补偿工作环境对传感器动态特性的影响。这些自调谐传感器可以显著提高测量的准确性和可靠性，从而改善现有生产系统的性能。这种方法可能能够提高对未来工厂所需的制造系统实施高性能控制、监测和诊断的可行性。为制造系统设计自调谐传感器的系统方法将尝试通过整合现代工程的两个重要元素来推进过程中计量。这些要素是：(1)作为多自由度系统组件安装在特定机床上的传感器的建模。基于第一性原理的衍生模型将封装有关传感器、机床和相关制造过程的先验知识；(2)基于时间序列的随机干扰下模型实时参数的在线辨识。本研究的目标是实现一个原型校正滤波器，能够跟踪和补偿环境对典型力和扭矩传感器动态性能的影响。该滤波器将被构建为一个高速、多处理器系统。