Machining Accuracy Improvement Through Visual Control of an Active Display

本项目的目标是研究一类新的空间位置测量系统，其中传感元件观察到其属性由用户动态控制的活动目标。预计，可控像素元件阵列的数字感测将允许传递高精度的位置和方向信息，以用于同时轴定位的运动控制。因此，本研究的目的是确定这样的有源图像传感系统的可达到的分辨率是否可以完全由用户可控制的阵元的基本尺寸、真实的阵元形状、可视阵列大小、系统放大倍率和颜色深度来定义。该方法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，并在适用的测试用例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，系统将在两轴定位平台上进行联动闭环运动控制试验，本研究的成功成果将为设计真正的多自由度制造设备联动定位闭环运动控制系统奠定基础。这种设计有可能消除复杂和昂贵的轴误差映射的需要，显著降低成本，并在许多制造应用中极大地提高可用性和适用性。这项研究的更广泛影响包括：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的根本进步；用于超精细位置控制的智能图案生成；数字图像生成和传感中的不确定性的分析和减少；新型位置传感的最佳架构；以及对具有不同更新率的耦合系统的控制。所提出的实施例是低成本的，并且对于需要多维精度反馈的任何系统在一定范围内的制造设备定位具有广泛的适用性。这项工作的结果将通过期刊和会议出版物向工程界传播。此外，还将建立一个互动网站，以跟踪当前的工作状态，并提供基本想法的在线模拟演示。

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.