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Title: Hierarchical optimal force-position-contour control of machining processes. part I. controller methodology
Author (s): Yan Tang
Landers, Robert G.
Balakrishnan, S. N.
Department/Lab Affiliations: Intelligent Systems Center
Mechanical & Aerospace Engineering
Keywords: contour control
force control
hierarchical optimal force-position-contour control
machine tool servomechanism control
machine tools
machining
machining force control
machining process control
optimal control
position control
process control
reference servomechanism position tracking
servomechanisms
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers
Citation: Yan Tang; Landers, R.G.; Balakrishnan, S. N. "Hierarchical optimal force-position-contour control of machining processes. Part I. Controller methodology" Proceedings of the 2005 American Control Conference, 2005. 8-10 June 2005 Pages: 4506- 4511 vol. 7
Abstract: There has been a tremendous amount of research in machine tool servomechanism control, contour control, and machining force control; however, to date these technologies have not been tightly integrated. This paper develops a hierarchical optimal control methodology for the simultaneous regulation of servomechanism positions, contour error, and machining forces. The contour error and machining force process reside in the top level of the hierarchy where the goals are to 1) drive the contour error to zero to maximize quality and 2) maintain a constant cutting force to maximize productivity. These goals are systematically propagated to the bottom level, via aggregation relationships between the top and bottom-level states, and combined with the bottom-level goals of tracking reference servomechanism positions. A single controller is designed at the bottom level, where the physical control signals reside, that simultaneously meets both the top and bottom-level goals. The hierarchical optimal control methodology is extended to account for variations in force process model parameters and process parameters.
Type: Article - Conference proceedings
text
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titleHierarchical optimal force-position-contour control of machining processes. part I. controller methodology
contributor.authorYan Tang
contributor.authorLanders, Robert G.
contributor.authorBalakrishnan, S. N.
contributor.deptlabIntelligent Systems Center
contributor.deptlabMechanical & Aerospace Engineering
subjectcontour control
subjectforce control
subjecthierarchical optimal force-position-contour control
subjectmachine tool servomechanism control
subjectmachine tools
subjectmachining
subjectmachining force control
subjectmachining process control
subjectoptimal control
subjectposition control
subjectprocess control
subjectreference servomechanism position tracking
subjectservomechanisms
date.issued2005
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationYan Tang; Landers, R.G.; Balakrishnan, S. N. "Hierarchical optimal force-position-contour control of machining processes. Part I. Controller methodology" Proceedings of the 2005 American Control Conference, 2005. 8-10 June 2005 Pages: 4506- 4511 vol. 7
identifier.issn0743-1619
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/9861/31519/01470706.pdf?arnumber=147070
description.abstractThere has been a tremendous amount of research in machine tool servomechanism control, contour control, and machining force control; however, to date these technologies have not been tightly integrated. This paper develops a hierarchical optimal control methodology for the simultaneous regulation of servomechanism positions, contour error, and machining forces. The contour error and machining force process reside in the top level of the hierarchy where the goals are to 1) drive the contour error to zero to maximize quality and 2) maintain a constant cutting force to maximize productivity. These goals are systematically propagated to the bottom level, via aggregation relationships between the top and bottom-level states, and combined with the bottom-level goals of tracking reference servomechanism positions. A single controller is designed at the bottom level, where the physical control signals reside, that simultaneously meets both the top and bottom-level goals. The hierarchical optimal control methodology is extended to account for variations in force process model parameters and process parameters.
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:23:40Z
date.available2007-04-05T14:23:39Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/01470706_09007dcc8030d625.html
Full Text
01470706_09007dcc8030d62a.pdf