DocumentCode :
25847
Title :
An Optimization Approach to Improved Petri Net Controller Design for Automated Manufacturing Systems
Author :
Hesuan Hu ; Mengchu Zhou ; Zhiwu Li ; Ying Tang
Author_Institution :
Sch. of Electro-Mech. Eng., Xidian Univ., Xi´an, China
Volume :
10
Issue :
3
fYear :
2013
fDate :
Jul-13
Firstpage :
772
Lastpage :
782
Abstract :
Sensors and actuators are two indispensable parts in the paradigm of feedback control. Their implementation cost should be properly evaluated and constrained. In the previous work, a Petri net monitor with the least cost is synthesized through integer programming formulation. Despite its technical correctness, the existing method may lead to undesirable results when the net structure contains some shared or unshared resource places of a manufacturing-oriented net model. A necessary and sufficient condition is established to show that certain structures can lead to deadlock-prone supervisors. An efficient algorithm is developed to identify such structures. Furthermore, it is shown that if one can identify such structures at the initial stage, it is possible to achieve desirable controllers for the original systems. The theoretical correctness of the proposed algorithm is discussed. A manufacturing example is provided to illustrate the proposed approach.
Keywords :
Petri nets; actuators; control system synthesis; feedback; integer programming; manufacturing systems; sensors; Petri net controller design; actuators; automated manufacturing systems; deadlock-prone supervisors; feedback control; integer programming formulation; manufacturing-oriented net model; necessary condition; optimization approach; sensors; sufficient condition; Control systems; IP networks; Manufacturing systems; Mathematical model; Monitoring; Petri nets; Vectors; Discrete event systems; Petri nets; integer programming; supervisory control;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2012.2201714
Filename :
6244818
Link To Document :
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