Abstract
This paper presents a colored resource-oriented Petri net (CROPN) modeling method to deal with conflict and deadlock arising in Automated Guided Vehicles (AGV) systems. The work can be viewed as the continuation of some of the authors' previous work. Some unique features in AGV systems require the further investigation into their deadlock avoidance using CROPN models. The proposed approach can easily handle both bidirectional and unidirectional paths. Bidirectional paths offer additional flexibility, efficiency and less cost than unidirectional paths. Yet they exhibit more challenging AGV management problems. By modeling nodes with places and lanes with transitions, one can easily construct a CROPN model for dynamic AGV systems with changing routes. A control policy suitable for real-time control implementation is then proposed.
Original language | English (US) |
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Pages (from-to) | 64-69 |
Number of pages | 6 |
Journal | Proceedings - IEEE International Conference on Robotics and Automation |
Volume | 1 |
State | Published - 2001 |
Externally published | Yes |
Event | 2001IEEE International Conference on Robotics and Automation (ICRA) - Seoul, Korea, Republic of Duration: May 21 2001 → May 26 2001 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering