Distributing Sequential Control for Manufacturing Automation Systems
Апстракт
Recent trends in manufacturing require the use of reconfigurable equipment that facilitates rapid and cost-effective change of functionality through modular design, which supports fast integration. Intelligent devices (e.g., sensors, actuators) with integrated computation and communication capabilities enable high-level modularity, not only with the respect to hardware components but also in terms of control functionality; this can be achieved by distributing control to different network-connected devices. Thus, to enable fast and reliable system reconfigurations, in this brief, we introduce a method for distribution of control tasks and generation of control code for the devices in the control network. Our approach is based on the control interpreted Petri nets (CIPNs) formalism. We start from a CIPN capturing the centralized (overall) control system, and the mapping of input and output signals to local controllers (LCs) (i.e., smart devices) that have direct physical access to system... sensors and actuators. From these, our method automatically designs distributed control tasks for LCs in the network, as well as generates control code for each LC. The applicability of the proposed method is experimentally verified on two real-world case studies.
Кључне речи:
sequential systems / petri nets / Petri nets / Manufacturing / Intelligent sensors / distributed control / Discrete-event systems / Decentralized control / ActuatorsИзвор:
IEEE Transactions on Control Systems Technology, 2020, 28, 4, 1586-1594Издавач:
- IEEE - Inst Electrical Electronics Engineers
Финансирање / пројекти:
- Office of Naval Research (ONR) [N00014-17-1-2012, N00014-17-1-2504]
- NSF grant [CNS-1652544]
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
DOI: 10.1109/TCST.2019.2912776
ISSN: 1063-6536
WoS: 000542930400033
Scopus: 2-s2.0-85086702315
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Jakovljević, Živana AU - Lesi, Vuk AU - Mitrović, Stefan M. AU - Pajić, Miroslav PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3412 AB - Recent trends in manufacturing require the use of reconfigurable equipment that facilitates rapid and cost-effective change of functionality through modular design, which supports fast integration. Intelligent devices (e.g., sensors, actuators) with integrated computation and communication capabilities enable high-level modularity, not only with the respect to hardware components but also in terms of control functionality; this can be achieved by distributing control to different network-connected devices. Thus, to enable fast and reliable system reconfigurations, in this brief, we introduce a method for distribution of control tasks and generation of control code for the devices in the control network. Our approach is based on the control interpreted Petri nets (CIPNs) formalism. We start from a CIPN capturing the centralized (overall) control system, and the mapping of input and output signals to local controllers (LCs) (i.e., smart devices) that have direct physical access to system sensors and actuators. From these, our method automatically designs distributed control tasks for LCs in the network, as well as generates control code for each LC. The applicability of the proposed method is experimentally verified on two real-world case studies. PB - IEEE - Inst Electrical Electronics Engineers T2 - IEEE Transactions on Control Systems Technology T1 - Distributing Sequential Control for Manufacturing Automation Systems EP - 1594 IS - 4 SP - 1586 VL - 28 DO - 10.1109/TCST.2019.2912776 ER -
@article{ author = "Jakovljević, Živana and Lesi, Vuk and Mitrović, Stefan M. and Pajić, Miroslav", year = "2020", abstract = "Recent trends in manufacturing require the use of reconfigurable equipment that facilitates rapid and cost-effective change of functionality through modular design, which supports fast integration. Intelligent devices (e.g., sensors, actuators) with integrated computation and communication capabilities enable high-level modularity, not only with the respect to hardware components but also in terms of control functionality; this can be achieved by distributing control to different network-connected devices. Thus, to enable fast and reliable system reconfigurations, in this brief, we introduce a method for distribution of control tasks and generation of control code for the devices in the control network. Our approach is based on the control interpreted Petri nets (CIPNs) formalism. We start from a CIPN capturing the centralized (overall) control system, and the mapping of input and output signals to local controllers (LCs) (i.e., smart devices) that have direct physical access to system sensors and actuators. From these, our method automatically designs distributed control tasks for LCs in the network, as well as generates control code for each LC. The applicability of the proposed method is experimentally verified on two real-world case studies.", publisher = "IEEE - Inst Electrical Electronics Engineers", journal = "IEEE Transactions on Control Systems Technology", title = "Distributing Sequential Control for Manufacturing Automation Systems", pages = "1594-1586", number = "4", volume = "28", doi = "10.1109/TCST.2019.2912776" }
Jakovljević, Ž., Lesi, V., Mitrović, S. M.,& Pajić, M.. (2020). Distributing Sequential Control for Manufacturing Automation Systems. in IEEE Transactions on Control Systems Technology IEEE - Inst Electrical Electronics Engineers., 28(4), 1586-1594. https://doi.org/10.1109/TCST.2019.2912776
Jakovljević Ž, Lesi V, Mitrović SM, Pajić M. Distributing Sequential Control for Manufacturing Automation Systems. in IEEE Transactions on Control Systems Technology. 2020;28(4):1586-1594. doi:10.1109/TCST.2019.2912776 .
Jakovljević, Živana, Lesi, Vuk, Mitrović, Stefan M., Pajić, Miroslav, "Distributing Sequential Control for Manufacturing Automation Systems" in IEEE Transactions on Control Systems Technology, 28, no. 4 (2020):1586-1594, https://doi.org/10.1109/TCST.2019.2912776 . .