Doctoral Dissertations
Abstract
"The main objective of this study is to design, develop, and investigate domain adaptive control architecture for advanced manufacturing systems. The proposed control architecture is a swarm-based, multi-agent system that exhibits adaptive and emergent behavior that has been inspired from social insects, such as wasps.
The proposed control architecture is built on a decentralized model, which does not require any user-defined control parameters, but rather employs stigmergic communication that results in emerging behavior with minimal negotiation overhead. Inspired from natural systems, the architecture is based on simple rules that self-adapt automatically based on the real-time status of the manufacturing system. A 3-layer modular software platform that includes MATLAB® codes, ARENA® simulation models, Visual Basic® modules, and MS ACCESS® database is developed to facilitate experimentation and benchmarking.
The proposed control architecture is applied to a variety of manufacturing domains and benchmarked against studies from the literature. A variety of experiments, involving internal and external dynamic disturbances, is performed. The experimental results clearly show that the proposed model is more reliable, adaptable, scalable, survivable, and robust, and outperforms all the benchmarked models and heuristics. This research adds to the literature the advantages of applying stigmergy as a means of communication among agents in a multi-agent system. The research clearly shows how the mathematical model developed for wasp lifecycle can be directly mapped and used to proactively control manufacturing systems"--Abstract, page iii.
Advisor(s)
Dagli, Cihan H., 1949-
Saygin, Can
Committee Member(s)
Enke, David Lee, 1965-
Grasman, Scott E. (Scott Erwin)
Miller, Ann K., 1947-2010
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Publisher
University of Missouri--Rolla
Publication Date
Fall 2006
Pagination
x, 105 pages
Note about bibliography
Includes bibliographical references (pages 88-103).
Rights
© 2006 Lakshmanan Meyyappan, All rights reserved.
Document Type
Dissertation - Restricted Access
File Type
text
Language
English
Subject Headings
Flexible manufacturing systems Adaptive control systems Swarm intelligence
Thesis Number
T 9065
Print OCLC #
173220449
Recommended Citation
Meyyappan, Lakshmanan, "Domain adaptive control architecture for advanced manufacturing systems" (2006). Doctoral Dissertations. 1721.
https://scholarsmine.mst.edu/doctoral_dissertations/1721
Share My Dissertation If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.
