Title :
Deadlock prevention policy for S3PR — Application to robot planning
Author :
Xu Wang ; Mahulea, Cristian ; Silva, M.
Author_Institution :
Inst. de Investig. en Ing. de Aragon, Univ. de Zaragoza, Zaragoza, Spain
Abstract :
This paper approaches the deadlock prevention problem for the well known class of S3PR used in Resource Allocation Systems. The proposed control policy is based on inhibitor arcs and the new Petri net class will be called S3PR2. The liveness characterization of this new class is given. The main application of the approach is to robot motion for a team of robots evolving in a partitioned environment with some limited capacity regions. In a previous work it is shown that the sets of trajectories for robots can be modeled by a particular S3PR and the deadlock-free execution has been solved using a centralized approach. Based on the results in this paper, we show that a decentralized control law for robots can be implemented.
Keywords :
Petri nets; path planning; resource allocation; trajectory control; Petri net class; S3PR; centralized approach; deadlock prevention policy; deadlock-free execution; decentralized control law; limited capacity regions; resource allocation systems; robot motion; robot planning; robot team; Decentralized control; Inhibitors; Planning; Resource management; Robots; System recovery; Vectors;
Conference_Titel :
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location :
Barcelona
DOI :
10.1109/ETFA.2014.7005169