System Characterization, Control and Optimal Feed -Rate Scheduling for High -Speed Machining and Nano Positioning
Dong, Jingyan
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/83856
Description
Title
System Characterization, Control and Optimal Feed -Rate Scheduling for High -Speed Machining and Nano Positioning
Author(s)
Dong, Jingyan
Issue Date
2006
Doctoral Committee Chair(s)
Ferreira, Placid M.
James A. Stori
Department of Study
Mechanical Engineering
Discipline
Mechanical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Mechanical
Language
eng
Abstract
Finally, a provably-optimal feedrate-optimization (trajectory planning) algorithm is developed to exploit the capabilities of a given physical motion system. System capabilities and process requirements are modeled and formulated as constraints to drive the algorithm. The resulting trajectory makes full use of the system capabilities and completes the required task in the minimum time, while satisfying all performance requirements such as dimensional error, maximum cutting force, etc. A bi-directional scan structure is adopted for the algorithm and a sub-optimization structure for each optimized point. These features make the algorithm computationally efficient, extendable to any state-dependent constraints and robust with respect to singularity difficulties often encountered in the optimal control approach. By studying the behavior of the algorithm in the phase plane, global optimality of this feedrate-optimization algorithm is proved.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.