Journal
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 24, Issue 5, Pages 1610-1622Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2015.2504046
Keywords
Automated manufacturing systems (AMSs); discrete event systems; distributed control; Petri nets; supervisor synthesis
Funding
- Program for New Century Excellent Talents in University [NCET-12-0921]
- National Natural Science Foundation of China [61573265, 61203037, 51305321]
- Fundamental Research Funds for the Central Universities [K7215581201, K5051304004, K5051304021]
- Academic Research Fund through the Ministry of Education in Singapore [M4011267.020, M4011221.040 RG84/13]
- Nanyang Assistant Professorship [M4081155.020, M4080996.020]
- Zhejiang Gongshang University, Zhejiang Provincial Key Laboratory of New Network Standards and Technologies [2013E10012-05]
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Due to the competition for limited resources by many concurrent processes in large-scale automated manufacturing systems (AMSs), one has to resolve any deadlock issue in order to reach their production goals without disruption and downtime. Monolithic resolution is a conventional approach for optimal or acceptable solutions, but may suffer from computational difficulty. Some decentralized methods are more efficient in finding approximate solutions, but most are application dependent. By modeling AMSs as Petri nets, we develop an innovative distributed approach, which can create a trajectory leading to a desired goal and is adaptable to different kinds of applications. Control strategies are applied to processes locally such that they can proceed concurrently and efficiently. Global goals are always reachable through the local observation, control, and execution of processes without knowing external and extra information. Polynomially complex are designed to find distributed controllers.
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