Applied Advanced Control Systems for Electrostatic Dehydrators in the Upstream Oil Industry

2015 ◽  
Author(s):  
H. D. Perez ◽  
G. Grandas Grandas ◽  
H. Perez-Rodriguez
2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Rzayev Ab.G. ◽  
Asadova R.Sh. ◽  
Gurbanov Z.G.

The article deals with a problem related to the oil industry, in particular to measuring equipment, and can be applied to centralized control systems measuring the flow rate of two-phase (oil and water) three-component output of a group of wells.


Robotica ◽  
2020 ◽  
Vol 38 (10) ◽  
pp. 1715-1716
Author(s):  
Nikos Aspragathos ◽  
Vassilis Moulianitis ◽  
Panagiotis Koustoumpardis

Human–robot interaction (HRI) is one of the most rapidly growing research fields in robotics and promising for the future of robotics technology. Despite the fact that numerous significant research results in HRI have been presented during the last years, there are still challenges in several critical topics of HRI, which could be summarized as: (i) collision and safety, (ii) virtual guides, (iii) cooperative manipulation, (iv) teleoperation and haptic interfaces, and (v) learning by observation or demonstration. In physical HRI research, the complementarity of the human and the robot capabilities is carefully considered for the advancement of their cooperation in a safe manner. New advanced control systems should be developed so the robot will acquire the ability to adapt easily to the human intentions and to the given task. The possible applications requiring co-manipulation are cooperative transportation of bulky and heavy objects, manufacturing processes such as assembly and surgery.


Data ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 42
Author(s):  
Diana Kafkes ◽  
Jason St. John

The Booster Operation Optimization Sequential Time-series for Regression (BOOSTR) dataset was created to provide a cycle-by-cycle time series of readings and settings from instruments and controllable devices of the Booster, Fermilab’s Rapid-Cycling Synchrotron (RCS) operating at 15 Hz. BOOSTR provides a time series from 55 device readings and settings that pertain most directly to the high-precision regulation of the Booster’s gradient magnet power supply (GMPS). To our knowledge, this is one of the first well-documented datasets of accelerator device parameters made publicly available. We are releasing it in the hopes that it can be used to demonstrate aspects of artificial intelligence for advanced control systems, such as reinforcement learning and autonomous anomaly detection.


2021 ◽  
Vol 341 ◽  
pp. 00063
Author(s):  
Andrey Kosmodamianskiy ◽  
Mikhail Kapustin ◽  
Sergey Malakhov

The article considers the challenges facing the transport complex, in particular, at the stage of digital transformation. The directions of development of the transport complex are defined, including the creation of a highly effective "trusted environment". The reasons why the transition to a new paradigm of building transport control systems and safety devices of a new generation is extremely necessary are identified and analyzed. The basic principles and architecture of the basic platform for advanced control systems, safety and diagnostics of traction rolling stock are formulated and justified.


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