Well-Conditioned Observers for High-Performance, Low-Cost, Sensing Systems

适用于高性能、低成本传感系统的条件良好的观察器

• 批准号: 9301816
• 负责人: Jeffrey Stein
• 金额: $ 18万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-05-01 至 1997-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9301816&HistoricalAwards=false
• 关键词: Well; Conditioned; Observers; Performance; Low

This project deals with the analysis and development of an innovative sensing system that combines conventional remote sensors and signal processing techniques that extract the corrupted portion of signals. Typically, in diagnostic systems the sensor output is corrupted by the machine itself since the sensor cannot be generally placed at the site where the signal to be measured is generated. For example, in machine tools, some cutting force sensors depend upon the measurement of strain in the outer race of the machine tools, others depend upon the load measured at the base of the tool turret, and still others depend on the current consumed by the feed or spindle motor. A monitorability index (MI) is developed in this research which not only improves the sensor reliability and performance, but also provides a means of systematically optimizing the design of a particular sensing system. The design procedure yields a simple rational method to determine the most appropriate signals to measure and the type of transducers to use. The technique of using a model to correct the corrupted signal belongs to the class of techniques known as model-based estimators. This sensing system, which is based on MI and is called Model Based Sensing (MBS) is implemented for tool force and spindle bearing monitoring on existing machine tools and its performance is compared with traditional model-based estimation strategies.*** //

该项目涉及创新传感系统的分析和开发，该系统结合了传统的远程传感器和提取信号损坏部分的信号处理技术。通常，在诊断系统中，传感器输出会被机器本身破坏，因为传感器通常不能放置在生成要测量的信号的位置。例如，在机床中，一些切削力传感器取决于机床外圈应变的测量，其他传感器取决于在刀具转塔底座处测量的负载，还有一些取决于进给或主轴电机消耗的电流。本研究开发了可监测性指数（MI），它不仅提高了传感器的可靠性和性能，而且还提供了一种系统优化特定传感系统设计的方法。设计过程产生了一种简单合理的方法来确定最合适的测量信号和要使用的传感器类型。使用模型来纠正损坏信号的技术属于基于模型的估计器的技术类别。这种基于 MI 的传感系统被称为基于模型的传感 (MBS)，用于现有机床上的刀具力和主轴轴承监测，并将其性能与传统的基于模型的估计策略进行比较。*** //