Title :
A deadlock detection and prevention method for a class of generalized petri nets under proper resource allocation
Author :
Mi Zhao ; Yifan Hou
Author_Institution :
Coll. of Machinery & Electr., Shihezi Univ., Wujiaqu, China
Abstract :
This paper develops a computationally efficient deadlock control policy for a class of generalized Petri nets, called G-system that can well model machining, assembly and disassembly operations. The primary focus of this research is to design a liveness-enforcing supervisor in polynomially computational complexity. First, an extraction algorithm of liveness requirement constraints with polynomial time complexity is presented with respect to different resource allocation orders. In order to properly allocate the system resources for various processes requirements, monitors are added for the net model in terms of precise liveness requirement constraints. Accordingly, an iterative deadlock control algorithm is established based on mixed integer programming (MIP) such that the resulting net system has no deadlock state. The proposed method can lead to a liveness-enforcing supervisor with high computational efficiency.
Keywords :
Petri nets; computational complexity; flexible manufacturing systems; integer programming; iterative methods; resource allocation; G-system; MIP; assembly operation; computational efficiency; computationally efficient deadlock control policy; deadlock detection method; deadlock prevention method; disassembly operation; extraction algorithm; generalized Petri nets; iterative deadlock control algorithm; liveness requirement constraints; liveness-enforcing supervisor design; machining operation; mixed integer programming; polynomial computational complexity; polynomial time complexity; process requirements; resource allocation; Algorithm design and analysis; Computational modeling; Monitoring; Petri nets; Resource management; System recovery; Vectors;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718472