Recent Developments in Automatic Control and Systems Engineering
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 14532
Special Issue Editors
Interests: predictive control; LPV systems; interpolation; computational simplicity feasibility
Interests: process control; MPC/NMPC; data-based methods for monitoring and control; fault detection and diagnosis; chemical and biochemical processes; process system engineering; process control artificial intelligence; neural networks autonomous systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Processes (ISSN 2227-9717) provides an advanced forum for process/system-related research, and in particular provides numerous Special Issues to give focus. This Special Issue gives focus to automatic control and, in particular, an opportunity to capture recent thinking in the academic and industrial communities.
The intention is that the Special Issue will contain a number of survey papers, alongside those which are narrower in focus and perhaps are future-looking with some novel elements, but still contain an element of survey contribution in their writing. Surveys could cover a broad range of issues, including those focusing on: i) application; ii) control methodology; iii) education; iv) industrial practice; and v) more.
Please speak to the Editor if you are not sure about whether your proposal fits the scope of the Issue.
Dr. Anthony Rossiter
Prof. Dr. Maurício Bezerra De Souza Jr.
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
- automatic control
- control design
- survey
- industrial control practice
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: A Modular Industrial Hardware Control System for Smart Industries
Authors: Gonçalo Gouveia; Jorge Alves; Pedro Sousa; Rui Araújo; Jérôme Mendes
Affiliation: University of Coimbra, CEMMPRE, ARISE
Abstract: This paper presents a modular hardware control system tailored for industrial applications. The system presented is designed with electrical protection, guaranteeing the reliable operation of its modules in the presence of various field noises and external disturbances. The modular architecture comprises a principal module (mP) and dedicated expansion modules (mEXs). The principal module serves as the network administrator and facilitates interaction with production and control processes. The mEXs are equipped with sensors, conditioning circuits, analog-to-digital converters, and digital signal processing capabilities. The mEX’s primary function is acquiring and local processing field signals and ensuring their reliable transmission to the mP. Two specific mEXs were developed for industrial environments: an electrical signal expansion module (mSE) and the vibration signals expansion module (mSV). The EtherCAT protocol serves as a means of communication between the modules, fostering deterministic and real-time interactions while also simplifying the integration and replacement of modules within the modular architecture. The proposed system incorporates local and distributed processing in which data acquisition, processing, and data analysis are carried out closer to where data is generated. By locally processing the acquired data close to the production in the mEX, it increases the mP availability and network reliability. For the local processing, feature extraction algorithms were developed on the mEX based on a Fast Fourier Transform (FFT) algorithm and a curve fitting algorithm that accurately represents a given FFT curve by significantly reducing the amount of data that needs to be transmitted over the mP. The proposed system offers a promising solution to meet the growing need for reliable data processing in modern industrial control systems.