Current Research
Machining Accuracy Improvement Through Visual Control of an Active Display
Principal investigators:
Chan Wong and Carlos Montes
Sponsor:
National Science Foundation
Brief abstract:
The goal of this proposal 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.
Impact:
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 multidimensional precision feedback. Results of this work will be disseminated to the engineering community through journal and conference publications. Additionally, an interactive Web site will be established to track the current state of work and to provide online simulation demonstrations of the fundamental ideas.
Project schedule:
July 2008 to June 2011
Publications:
Wong C, Montes C, Mears L, and Ziegert J, A New Position Feedback Method for Manufacturing Equipment, in Proceedings of the ASME International Manufacturing Science and Engineering Conference 2008. 2008: Evanston, IL. pp. 111-120
Montes, C.A., Ziegert, J.C. and Mears, L., "Method to Measure Planar Displacement using Centroid Calculation". 37 NAMRC. 2009 Greenville, SC, USA.
Wong C, Mears L, and Ziegert J, Dead time Compensation For a Novel Position system via Predictive Control, Proceedings of the 2009 International Manufacturing Science And Engineering Conference, MSEC2009,October 4-7,2009 West Lafayette, Indiana, USA
