Discrete Event Approach to Robust Control in Automated Manufacturing Systems
Document Type
Article
Publication Date
1-1-2022
Abstract
In recent decades, deadlock control for automated manufacturing systems has been an active area. Most researchers have assumed that allocated resources, such as sensors, actuators, and controllers never fail. However, this case is not prevalent in practice due to the unexpected failure of resources. Thus, the objective of robust control is presented in this article. Several methods have been developed along this direction, such as methods that combine neighborhood constraints and the modified Banker's algorithm, as well as methods based on critical places. To explore their effectiveness and performance, we not only conduct a comparison investigation but also develop new theoretical results. According to the experimental results, critical place-based approaches are simpler, more efficient, and more comprehensive than the Banker's algorithm-based approaches in response to resource failures. This article is motivated by the control of production Petri nets; however, the results are also applicable to other more complex systems.
Identifier
85097923108 (Scopus)
Publication Title
IEEE Transactions on Systems Man and Cybernetics Systems
External Full Text Location
https://doi.org/10.1109/TSMC.2020.3035446
e-ISSN
21682232
ISSN
21682216
First Page
123
Last Page
135
Issue
1
Volume
52
Grant
61573265
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Wang, Xiaojun; Hu, Hesuan; and Zhou, Meng Chu, "Discrete Event Approach to Robust Control in Automated Manufacturing Systems" (2022). Faculty Publications. 3373.
https://digitalcommons.njit.edu/fac_pubs/3373