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Processes
Special Issues
Challenges and Advances of Process Control Systems
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Challenges and Advances of Process Control Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2666

Special Issue Editors

Prof. Dr. Olympia Roeva

E-Mail Website
Guest Editor
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Interests: mathematical modelling; metaheuristic algorithms; process control; generalised nets; intuitionistic fuzzy sets; intercriteria analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Tsonyo Slavov

E-Mail Website
Guest Editor
Systems and Control, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: system modelling and identification; robust control; embedded control system; process control

Special Issue Information

Dear Colleagues,

The purpose of the Special Issue, titled “Challenges and Advances of Process Control Systems”, is to provide an opportunity for researchers and practitioners to exchange their latest theoretical and technological advances and to identify critical issues and challenges addressing the application and development of various devices of different advanced control algorithms. These algorithms can be based on, but are not limited to, the approaches of robust, optimal, adaptive, predictive control, and intelligent control.

The topics include, but are not limited to, the following control system applications:

  • Manufacturing and production processes
  • Power generation and distribution
  • Robotics
  • Hydraulics
  • Medicine
  • Biotechnology

Prof. Dr. Olympia Roeva
Prof. Tsonyo Slavov
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • real-time process control
  • application of artificial intelligence in modelling and control problems
  • robot control and modelling
  • bioprocess modelling and control
  • embedded control systems

Published Papers (3 papers)

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Research

17 pages, 1692 KiB  
Article
Security Assessment of Industrial Control System Applying Reinforcement Learning
by Mariam Ibrahim and Ruba Elhafiz
Processes 2024, 12(4), 801; https://doi.org/10.3390/pr12040801 - 16 Apr 2024
Viewed by 449
Abstract
Industrial control systems are often used to assist and manage an industrial operation. These systems’ weaknesses in the various hierarchical structures of the system components and communication backbones make them vulnerable to cyberattacks that jeopardize their security. In this paper, the security of [...] Read more.
Industrial control systems are often used to assist and manage an industrial operation. These systems’ weaknesses in the various hierarchical structures of the system components and communication backbones make them vulnerable to cyberattacks that jeopardize their security. In this paper, the security of these systems is studied by employing a reinforcement learning extended attack graph to efficiently reveal the subsystems’ flaws. Specifically, an attack graph that mimics the environment is constructed for the system using the state–action–reward–state–action technique, in which the agent is regarded as the attacker. Attackers may cause the greatest amount of system damage with the fewest possible actions if they have the highest cumulative reward. The worst-case assault scheme with a total reward of 42.9 was successfully shown in the results, and the most badly affected subsystems were recognized. Full article
(This article belongs to the Special Issue Challenges and Advances of Process Control Systems)
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21 pages, 8300 KiB  
Article
CFD Modeling and Experimental Validation of the Flow Processes of an External Gear Pump
by Alexander Mitov, Nikolay Nikolov, Krasimir Nedelchev and Ivan Kralov
Processes 2024, 12(2), 261; https://doi.org/10.3390/pr12020261 - 25 Jan 2024
Viewed by 850
Abstract
This article presents computational fluid dynamics (CFD) modeling of the flow processes at a certain specimen of an external gear pump. The purpose of the developed two-dimensional (2D) CFD model is to carry out a numerical study to obtain the main characteristics of [...] Read more.
This article presents computational fluid dynamics (CFD) modeling of the flow processes at a certain specimen of an external gear pump. The purpose of the developed two-dimensional (2D) CFD model is to carry out a numerical study to obtain the main characteristics of the pump flow rate, especially the flow rate as a function of the pressure and the flow rate as a function of the time. A numerical study was carried out at forty-two different operating modes that were expressed as a variation of two parameters: rotational frequency (950–1450 min−1) and pressure (5–150 bar). The validation of the numerical results was carried out through an experimental study. For this purpose, a laboratory experimental setup equipped with a modern data acquisition (DAQ) system was designed and implemented. It allows the gear pump to be tested at the same operating modes as the numerical study. A validation analysis was performed by comparing the numerical and experimental results using the average relative error index (FIT). A detailed description of the 2D CFD model development (CAD model, mesh, general settings, boundary conditions, etc.) is provided. Based on the 2D CFD model, an original methodology was proposed to take into account the influence of the discharge channels on the displacement volume of the pump by adjusting the face width of the gears. Despite the limitations of the simple 2D CFD model, which are discussed in this article, a very good match between numerical and experimental results is analyzed by calculating the FIT level, which is in the range of 93–97%. Full article
(This article belongs to the Special Issue Challenges and Advances of Process Control Systems)
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19 pages, 8863 KiB  
Article
Experimental Study of Sound Pressure Level in Hydraulic Power Unit with External Gear Pump
by Alexander Mitov, Krasimir Nedelchev and Ivan Kralov
Processes 2023, 11(8), 2399; https://doi.org/10.3390/pr11082399 - 09 Aug 2023
Cited by 1 | Viewed by 892
Abstract
The article presents the results of an experimental study of the sound pressure level (SPL) caused by a hydraulic power unit with an external gear pump. The study was carried out with a specially developed laboratory experimental setup based on a [...] Read more.
The article presents the results of an experimental study of the sound pressure level (SPL) caused by a hydraulic power unit with an external gear pump. The study was carried out with a specially developed laboratory experimental setup based on a common architecture used in hydraulic power units. Both the hydraulic system and the measuring equipment used are described in detail. The design of the experimental studies performed, including two main configurations with specific parameters regarding the operating modes of the system, is presented. The experimental results obtained are presented in the form of magnitude frequency responses which are compared in accordance with the experiment design. An analysis of the results obtained is performed using various quantitative indicators. For specific operating modes, parametric models were derived by approximation of the experimental data. The resulting models can serve in future work to reduce the SPL by passive or active means (e.g., frequency control of the electric motor). The quantitative analysis can serve as a basis of comparison with results obtained after adding passive (damping ring, etc.) or active means to reduce the SPL. Full article
(This article belongs to the Special Issue Challenges and Advances of Process Control Systems)
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