GSPN-based modeling and analysis for robotized assembly system

Abstract

Generalized Stochastic Petri-Nets (GSPN) is a kind of high-level abstraction modeling tool for a system with complex state transitions. A GSPN model will conduce to rational decision making during a design process for a system. In this paper a robotized assembly system with complex workflow (assembly tasks flow) is studied, and GSPN model is used to analyze deeply qualitative and quantitative properties of the robotized assembly system. The model will facilitate assessing average performance and testing correctness and consistent of operating sequences of the robotized assembly system. Several performance indexes of GSPN model are formulated such as the probability of a state, math expectation of tokens of a place, firing rate of exponent transitions and average waiting time of a place. On the basis of the method, an A robotized assembly workstation for a automotive transmission component is designed and built successfully. Index Terms -GSPN, system modelling, robotized assembly system 978-1-4244-2679-9/08/$25.00 ©2008 IEEE

Reliability Model of Integrated Navigation Based on GSPN

“…All above requirements limit the application of the method. [5,6] Generalized stochastic Petri nets gets more and more applications because of the prominent dynamic modeling and analysis capabilities [7]. In this paper, the reliability model of the GPS/INS/RA integrated navigation is established based on generalized stochastic Petri net (GSPN) and is simulated with the TimeNET4.0.…”