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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010120962 | T56.24 M36 2006 | Open Access Book | Book | Searching... |
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Summary
Summary
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.
Author Notes
The authors of this project are or have been associated with Frank Lewis's research group in Texas, Frank Lewis himself is very well-known in the control community having served as Editor for Automatica and as a conference organizer for IEEE (for example, he was General Chair of CDC 2003), of which he is a fellow. All the authors have experience in both the industrial and academic spheres including work on various forms of control, robotics, MEMS and network installation. Frank Lewis has extensive experience of writing books (11 books still in print including 6 authored monographs/textbooks). He has edited a previous Springer volume Adaptive Control of Nonsmooth Dynamic Systems 1-85233-384-7. Professor Kovacic and Doctor Bogdan are also involved in IEE conference organisationand in addition to their American connections are in close collaboration with the highly-regarded Technical University of Crete.
Table of Contents
1 Introduction | p. 1 |
1.1 Background | p. 2 |
1.1.1 Flexible Manufacturing Systems and Their Controllers | p. 2 |
1.1.2 Summary of Approaches to Manufacturing System Control | p. 2 |
1.2 Flexible Manufacturing Systems | p. 3 |
1.2.1 Types of Manufacturing Systems | p. 3 |
1.2.2 FMS Design Tools | p. 5 |
1.3 Dispatching Rules and Blocking Phenomena | p. 8 |
1.4 Models of Discrete Event Manufacturing Systems | p. 9 |
1.4.1 Rule-based Expert Systems | p. 9 |
1.4.2 Petri Nets | p. 10 |
1.4.3 Graphs | p. 14 |
1.5 A Matrix-based Discrete Event Controller | p. 15 |
1.5.1 Matrix-based Discrete Event Controller Equations | p. 15 |
1.6 Simulation of FMS Control Systems | p. 16 |
References | p. 17 |
2 Discrete Event Systems | p. 21 |
2.1 Time-driven Systems | p. 22 |
2.2 Event-driven Systems | p. 34 |
2.2.1 Automaton | p. 36 |
2.2.2 Languages and Supervisory Control of DES | p. 45 |
References | p. 48 |
3 Matrix Model and Control of Manufacturing Systems | p. 51 |
3.1 System Matrices | p. 53 |
3.2 System Equations | p. 58 |
3.2.1 Logical State-vector Equation | p. 59 |
3.2.2 Job-start Equation | p. 60 |
3.2.3 Resource-release and Product-output Equations | p. 61 |
3.2.4 Recursive Matrix Model | p. 62 |
3.3 Modeling System Dynamics | p. 67 |
3.4 Matrix Controller | p. 77 |
3.5 A Case Study: Implementation of the Matrix Controller | p. 86 |
3.5.1 Intelligent Material Handling (IMH) Workcell Description | p. 86 |
3.5.2 IMH Workcell Dispatching Strategy | p. 89 |
3.5.3 Implementation of the Matrix Controller on the IMH Workcell | p. 91 |
3.5.4 The Matrix Controller in Lab VIEW Graphical Environment | p. 93 |
3.6 Exersises | p. 95 |
References | p. 95 |
4 Matrix Methods for Manufacturing Systems Analysis | p. 97 |
4.1 Basic Definitions of Graphs | p. 98 |
4.1.1 Matrix Representation of the Graph | p. 103 |
4.2 String Composition | p. 110 |
4.3 Max-plus Algebra | p. 120 |
4.3.1 DEDS Model in Max-plus Algebra | p. 124 |
4.3.2 Periodic Behavior of DEDS in Max-plus | p. 127 |
4.3.3 Buffers in Max-plus Algebra | p. 130 |
4.3.4 Deriving Max-plus System Equation from Matrix Model | p. 140 |
4.4 Exercises | p. 143 |
References | p. 144 |
5 Manufacturing System Structural Properties in Matrix Form | p. 147 |
5.1 Multiple Re-entrant Flowlines - MRF | p. 148 |
5.1.1 Circular Waits in MRF Systems | p. 150 |
5.1.2 Resource Loops in MRF Systems | p. 156 |
5.1.3 Siphons and Traps in MRF Systems | p. 158 |
5.1.4 Critical Subsystems in MRF Systems | p. 164 |
5.1.5 Key Resources and Irregular Systems in MRF | p. 169 |
5.2 Free Choice Multiple Re-entrant Flowlines - FMRF | p. 170 |
5.2.1 Structural Properties of FMRF | p. 173 |
5.3 Matrix Controller Design in MRF Systems | p. 178 |
5.3.1 Deadlock Avoidance in MRF Systems | p. 178 |
5.3.2 Deadlock Avoidance in Irregular Systems | p. 181 |
5.3.3 Deadlock Avoidance in FMRF Systems | p. 184 |
5.4 A Case Study: Deadlock Avoidance in PLC-controlled FMS | p. 199 |
References | p. 208 |
6 Petri Nets | p. 211 |
6.1 Basic Definitions | p. 212 |
6.2 Manufacturing Systems Modeling | p. 226 |
6.2.1 Petri-net Controller | p. 231 |
6.3 Relation Between Petri Nets and Matrix Form | p. 238 |
6.4 Petri Nets Simulation and Implementation | p. 242 |
6.5 Validation of Implemented Petri Nets | p. 247 |
References | p. 257 |
7 Virtual Factory Modeling and Simulation | p. 259 |
7.1 3D Modeling of Manufacturing Systems | p. 261 |
7.2 Modeling FESTO FMS in VRML (X3D) Format | p. 262 |
7.2.1 Basic VRML Features | p. 263 |
7.2.2 FESTO FMS VRML Model | p. 265 |
7.3 Modeling in LISA | p. 267 |
7.4 GRASP2000 (BYG Systems Ltd, UK) | p. 270 |
7.5 Robot Studio (ABB, Sweden) | p. 271 |
7.6 Tecnomatix eM-Plant (UGS, USA) | p. 273 |
7.7 CIMStation Robotics (AC&E, UK) | p. 275 |
7.8 COSIMIR (FESTO, Germany) | p. 275 |
7.9 FlexMan (LARICS, University of Zagreb, Croatia) | p. 276 |
7.9.1 FlexMan Structure | p. 277 |
7.9.2 Database | p. 279 |
7.9.3 Virtual FMS Modeling | p. 279 |
7.9.4 Functional Modeling of FMS | p. 279 |
7.9.5 Generating Trajectories in FlexMan | p. 280 |
7.9.6 Simulation and Visualization of FMS operation | p. 282 |
7.9.7 Internet-based Multiuser FMS Control with FlexMan | p. 283 |
7.9.8 A Selection of an FMS Control Method | p. 284 |
7.10 Exercise | p. 290 |
References | p. 292 |
Index | p. 295 |