scholarly journals Special Issue on “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 664
Author(s):  
Zhiwei Gao ◽  
Michael Z. Q. Chen ◽  
Dapeng Zhang

Complex industrial automation systems and processes, such as chemical processes, manufacturing systems, wireless network systems, power and energy systems, smart grids and so forth, have greatly contributed to our daily life [...]

2020 ◽  
pp. 158-166
Author(s):  
Rodrigo Aristóteles ◽  
Tarcisio Leão

Most industrial processes have computers responsible for managing the production stages, which are the workstations. They monitor and control equipment (frequency inverters, screwdrivers and others) by sending commands via the network. This article shows a communication system between a robotic manipulator and a workstation, Modbus TCP and Advanced Control Language (ACL) protocols, respectively. The devices mentioned do not communicate directly, as the communication protocols are different. Therefore, it is not possible to perform this integration between the equipment, causing a sector of the industrial plant to be inoperative. There are several similar problems in automation systems, so there is the use of the gateway in various processes. It is a technology used in the conversion between protocols, thus being the object of study. The methodology starts with configuring the gateway according to the parameters of the workstation and the robotic manipulator, and then employs the use of the Wireshark® network monitor in order to verify that data sent and received follow the requested specifications.


Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 3
Author(s):  
Giulio Ferro ◽  
Michela Robba ◽  
Roberto Sacile

The increase in intermittent renewable energy resources and distributed generation has led to the need for developing new controllers and management techniques for smart grids [...]


2018 ◽  
Vol 226 ◽  
pp. 04033 ◽  
Author(s):  
Vasily Larshin ◽  
Natalya Lishchenko

The paper is devoted to a solving an important scientific and technical problem of increasing the productivity of defect-free profile gear grinding on CNC machines on the basis of development of on-machine intelligent subsystems for the grinding operation designing, monitoring, and diagnosing which allow grinding system elements adapting to a higher productivity of the CNC grinder. The characteristic of the adaptation principle in manufacturing systems on CNC machines is given in accordance with both the systems and control theories. The productivity resources based on the use of the adaptation principle are studied and identified as well as a methodology is developed for researching the grinding system using scientific methods of modeling, optimization and control. Besides, corresponding technological preconditions are given in the form of a set of purposeful methods and means of innovative profile grinding technology, including grinding stock on-machine measurement and transformation the stock uncertainty into the grinding wheel displacement from the gear to be grinded.


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