Salt Lake City, Utah
June 20, 2004
June 20, 2004
June 23, 2004
9.787.1 - 9.787.15
Intelligent Fuzzy Controllers Laboratory
Janos L Grantner1 , Ramakrishna Gottipati1 , George A Fodor2 1 Department of Electrical and Computer Engineering Western Michigan University Kalamazoo MI 49008-5329, USA email@example.com, firstname.lastname@example.org 2 ABB Automation Technology Products AB, S-721 67 Vasteras, Sweden email@example.com
The Intelligent Fuzzy Controllers Laboratory has been developed in the Department of Electrical and Computer Engineering of Western Michigan University with the help of a DURIP grant by the Department of Defense  and generous donations by ABB Automation Technology Products. This new lab is to support research, the development of advanced courses, and graduate projects in the area of intelligent controls for large, complex hybrid systems. One of the targeted applications is the supervisory level of flatness control for cold rolling mills.
Contemporary industrial control systems are designed using Object Oriented methods and software agents. It s required that the system should reach its goals even when i unexpected events occur in an uncertain environment. The current research focus is on fault detection and automated recovery from faults. A fuzzy automaton has been proposed to model the system at critical junctions of the control algorithm.
A research project is currently underway to develop a Generic Encapsulated Fuzzy Automaton Software Agent for Object Oriented Control Systems. The aim of the project is twofold: 1) to develop and evaluate the performance of new methods and architectures for this area of research, and 2) to create a laboratory environment in which masters and doctoral students can work on independent projects as well as course assignments.
In the first part of the paper, we will summarize the key research ideas behind the lab. The second part of the paper will focus on creating a software environment for conducting research and supporting graduate courses in the intelligent supervisory controls area. Students will be developing solutions for plant control problems using skeleton codes provided and will be verifying the performance of their solutions with the help of the Fuzzy Automaton Software Agent and a plant simulator program. Both the Fuzzy Automaton Software Age nt and the plant simulator are written in Java. These two programs are added to ABB's industrial software control system. The overall system will “Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition Copyright © 2004, American Society for Engineering Education”
Fodor, G., & Gottipati, R., & Grantner, J. (2004, June), Intelligent Fuzzy Controllers Laboratory Paper presented at 2004 Annual Conference, Salt Lake City, Utah. https://peer.asee.org/12907
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2004 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015