Keywords
Multi axis, machine tool, contour control, robust control
Abstract
In modern manufacturing industries, many applications require precision motion control of multi-agent systems, like multi-joint robot arms and multi-axis machine tools. Cutter (end effector) should stay as close as possible to the reference trajectory to ensure the quality of the final products. In conventional computer numerical control (CNC), the control unit of each axis is independently designed to achieve the best individual tracking performance. However, this becomes less effective when dealing with multi-axis contour following tasks because of the lack of coordination among axes. This dissertation studies the control of multi-axis machine tools with focus on reducing the contour error. The proposed research explicitly addresses the minimization of contour error and treats the multi-axis machine tool as a multi-input-multi-output (MIMO) system instead of several decoupled single-input-single-output (SISO) systems. New control schemes are developed to achieve superior contour following performance even in the presence of disturbances. This study also extends the applications of the proposed control system from plane contours to regular contours in R3. The effectiveness of the developed control systems is experimentally verified on a micro milling machine.
Notes
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Graduation Date
2014
Semester
Spring
Advisor
Lin, Kuo-Chi
Degree
Doctor of Philosophy (Ph.D.)
College
College of Engineering and Computer Science
Department
Mechanical and Aerospace Engineering
Degree Program
Mechanical Engineering
Format
application/pdf
Identifier
CFE0005287
URL
http://purl.fcla.edu/fcla/etd/CFE0005287
Language
English
Release Date
5-15-2019
Length of Campus-only Access
5 years
Access Status
Doctoral Dissertation (Open Access)
Subjects
Dissertations, Academic -- Engineering and Computer Science; Engineering and Computer Science -- Dissertations, Academic
STARS Citation
Zhao, Ran, "Modeling and Contour Control of Multi-Axis Linear Driven Machine Tools" (2014). Electronic Theses and Dissertations. 4834.
https://stars.library.ucf.edu/etd/4834