DocumentCode :
477523
Title :
Holonic Reconfiguration Model Based on Time Petri-Net and Its Solution Method
Author :
Shangxiong Sheng
Author_Institution :
Sch. of Mech. & Electron. Eng., Lanzhou Univ. of Technol., Lanzhou
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
594
Lastpage :
597
Abstract :
The manufacturing system change from hierarchy to parallel structure, from concentration to distribution based on notion of Holonic Manufacturing System. In this paper, the problem of how to demarcate the unit of the manufacturing system, management style of the unit, control structure and the corresponding control method are settled. The model on order settlement in system reconfiguration model based on time Petri-net is put forward, order intelligent operation series is guided by a hybrid particle swarm optimization(HPSO) algorithm with Differential Evolution(DE) algorithm. PSO provides initial solution for DE during the hybrid search process. Such hybrid algorithm can be converted to tradition DE by setting swarm size to one particle. Simulation results show that the proposed model and algorithm are effective to order evaluation and implementation.
Keywords :
Petri nets; evolutionary computation; manufacturing systems; particle swarm optimisation; control structure; differential evolution algorithm; holonic manufacturing system; holonic reconfiguration model; hybrid particle swarm optimization algorithm; parallel structure; time Petri-net; Collaborative tools; Computer aided manufacturing; Concurrent computing; Control systems; Distributed computing; Flexible manufacturing systems; Intelligent structures; International collaboration; Manufacturing systems; Topology; Differential Evolution (DE); Holonic Manufacturing System; Order Settlement; Particle Swarm Optimization (PSO); Petri Net;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.401
Filename :
4659555
Link To Document :
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