Machining Accuracy Improvement Through Visual Control of an Active Display

该项目的目标是研究一类新的空间位置测量系统，其中传感元件观察一个活动目标，其属性由用户动态控制。可以预期的是，一个可控制的像素元素阵列的数字传感将允许高精度的位置和方向信息进行通信，以实现同步轴定位的运动控制。因此，本研究的目的是确定这种主动图像传感系统的可实现分辨率是否可以完全由阵列元素的基本尺寸、真实元素形状、可见阵列尺寸、系统放大倍率和用户可控制的颜色深度来定义。方法是首先在可实现的分辨率和感兴趣的系统参数之间建立基于物理的关系，并在测试用例的适用范围内预测系统分辨率。然后将进行实验以观察实际可实现的分辨率并验证预测。在分辨率验证后，系统将在双轴定位台上进行同步轴闭环运动控制测试。本研究的成功成果将为多自由度制造设备的同步轴定位设计一个真正意义上的闭环运动控制系统。这样的设计有可能消除对复杂和昂贵的轴误差映射的需要，显着降低成本，并大大提高了许多制造应用的可用性和适用性。该研究的广泛影响包括：利用主动控制显示器的视觉检测，在制造设备的精度和直接控制方面取得了根本性的进步；超精细位置控制智能模式生成数字图像生成与传感中的不确定性分析与降低一种新型位置传感的最优结构；具有不同更新速率的耦合系统的控制。所提出的实施例成本低，并且广泛适用于任何需要多维精度反馈的系统在一系列尺度上的制造设备定位。这项工作的结果将通过期刊和会议出版物传播给工程界。此外，将建立一个互动网站，以跟踪当前的工作状态，并提供基本思想的在线模拟演示。

The goal of this project is to investigate a new class of spatial position measurement systems where the sensing element observes an active target whose properties are dynamically controlled by the user. It is anticipated that digital sensing of a controllable array of pixel elements will allow high-precision position and orientation information to be communicated for the purpose of motion control of simultaneous-axis positioning. Therefore, the objective of this research is to determine if the achievable resolution of such an active image sensing system can be completely defined by the fundamental size of the array element, the true element shape, viewable array size, system magnification, and color depth controllable by the user. The approach is to first formulate a physics-based relationship between achievable resolution and the system parameters of interest, and to predict the system resolution over an applicable range of test cases. Experiments will then be performed to observe actual achievable resolution and verify the prediction. After resolution is verified, the system will be tested on a two-axis positioning stage for simultaneous axis closed-loop motion control.Successful results of this research will enable design of a true closed-loop motion control system for simultaneous axis positioning of multi-degree-of-freedom manufacturing equipment. Such a design has the potential to eliminate the need for complex and expensive axis error mapping, significantly reducing cost and greatly increasing usability and applicability in a number of manufacturing applications. Broader impacts of the research include: fundamental advancements in accuracy and direct control of manufacturing equipment using vision detection of an actively controlled display; intelligent pattern generation for ultrafine position control; analysis and reduction of uncertainty in digital image generation and sensing; optimal architecture of a new class of position sensing, and; control of coupled systems with disparate update rates. The proposed embodiment is low cost and has wide applicability for manufacturing equipment positioning over a range of scales for any system requiring multi-dimensional precision feedback. Results of this work will be disseminated to the engineering community through journal and conference publications. Additionally, an interactive website will be established to track the current state of work, and to provide online simulation demonstrations of the fundamental ideas.