Special Issue "Intelligent Control of Actuator Systems"

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".

Deadline for manuscript submissions: closed (20 April 2022) | Viewed by 2904

Special Issue Editors

Dr. Heena Rathore
E-Mail Website
Guest Editor
University of Texas, San Antonio, Austin, TX 78712, USA
Interests: deep learning; security; privacy; cryptocurrency; biologically inspired computing; Internet of Things; cyberphysical systems
Dr. Henry Griffith
E-Mail Website
Guest Editor
University of Texas, San Antonio, Austin, TX 78712, USA
Interests: eye tracking; sensor analytics; ubiquitous healthcare

Special Issue Information

Dear Colleagues,

Actuators are a key component of a cyberphysical system, which senses the real world environment, makes decisions using the sensed data, and then activates a response system. Actuators form a key element of the response system. Actuators rely on both feed forward and feedback systems, controlled via software, to make intelligent decisions. Such smart actuators are the cornerstone of Internet of Thing (IoT) devices found in smart devices. This Special Issue will be devoted to topics related to the use of artificial intelligence in the area of actuator technology. Such topics include but are not limited to:

  1. Use of machine learning techniques to improve decision making;
  2. Closed loop (feedback) control of actuators;
  3. Resource-aware actuator systems;
  4. Cognitive actuator systems;
  5. Latency and determinism topics related to sensor-actuator interactions;
  6. Energy efficient actuator systems;
  7. Security in actuator systems (centralized);
  8. Blockchain/DLT techniques for security in distributed actuator systems;
  9. Sensors and actuators for smart systems;
  10. Testbed architectures for testing smart actuators.
Dr. Heena Rathore
Dr. Henry Griffith
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. Actuators 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 1800 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

  • cyber physical systems
  • actuators
  • machine learning
  • artificial intelligence
  • cryptocurrency
  • sensors
  • smart grids
  • connected vehicles

Published Papers (3 papers)

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Research

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Article
Multiparameter Optimization Framework of Cyberphysical Systems: A Case Study on Energy Saving of the Automotive Engine
Actuators 2021, 10(12), 330; https://doi.org/10.3390/act10120330 - 14 Dec 2021
Cited by 1 | Viewed by 565
Abstract
Multiparameter optimization of complex electromechanical systems in a physical space is a challenging task. CPS (Cyberphysical system) technology can speed up the solution of the problem based on data interaction and collaborative optimization of physical space and cyberspace. This paper proposed a general [...] Read more.
Multiparameter optimization of complex electromechanical systems in a physical space is a challenging task. CPS (Cyberphysical system) technology can speed up the solution of the problem based on data interaction and collaborative optimization of physical space and cyberspace. This paper proposed a general multiparameter optimization framework by combining physical process simulation and clustering genetic algorithm for the CPS application. The utility of this approach is demonstrated in the instance of automobile engine energy-saving in this paper. A 1.8-L turbocharged GDI (gasoline direct injection) engine model was established and calibrated according to the test data and physical entity. A joint simulation program combining CGA (Clustering Genetic Algorithm) with the GDI engine simulation model was set up for the engine multiparameter optimization and performance prediction in cyberspace; then, the influential mechanism of multiple factors on engine energy-saving optimization was analyzed at 2000 RPM (Revolutions Per Minute) working condition. A multiparameter optimization with clustering genetic algorithm was introduced for multiparameter optimization among physical and digital data. The trade-off between fuel efficiency, dynamic performance, and knock risk was discussed. The results demonstrated the effectiveness of the proposed method and that it can contribute to develop a novel automotive engine control strategy in the future. Full article
(This article belongs to the Special Issue Intelligent Control of Actuator Systems)
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Article
Real-Time Implementation of a Fully Automated Industrial System Based on IR 4.0 Concept
Actuators 2021, 10(12), 318; https://doi.org/10.3390/act10120318 - 30 Nov 2021
Cited by 2 | Viewed by 956
Abstract
With the advent of modern communication and control strategies, existing industrial enterprises are now being transformed as per Industrial Revolution (IR) 4.0 standards to maximize production rates and monetary gains. To cope with the pace of the modern technological revolution, the Government of [...] Read more.
With the advent of modern communication and control strategies, existing industrial enterprises are now being transformed as per Industrial Revolution (IR) 4.0 standards to maximize production rates and monetary gains. To cope with the pace of the modern technological revolution, the Government of Saudi Arabia has launched “Vision 2030”. This research article presents the full automation process of an existing production line at the College of Engineering, King Saud University, as per “Vision 2030” guidelines. Initially, a production line was designed to produce flavored yogurt bottles from a user-defined flavor and plain yogurt mixture. The research project was completed in two phases. During phase I, smart sensing, control, and automation equipment were used to minimize human intervention, the so-called semi-automated mode of operation. A bottle-feeding mechanism and robotic arms were later integrated to eliminate human intervention during the second phase. Moreover, during phase II, Node-RED, Telegram Bots, and a Raspberry Pi 4 controller were used to achieve IoT-based monitoring and control as per Industry 4.0 requirements. A comparative performance analysis was conducted between semi-automated and fully automated modes of operation to demonstrate the benefits of the fully automated operational mode. The performance of the fully automated system was found to be superior in comparison with the semi-automated system. Full article
(This article belongs to the Special Issue Intelligent Control of Actuator Systems)
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Review

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Review
Review of Brake-by-Wire System and Control Technology
Actuators 2022, 11(3), 80; https://doi.org/10.3390/act11030080 - 04 Mar 2022
Viewed by 741
Abstract
In accordance with the developing trend of “safety, comfort and low-carbon” technology, the market for intelligent X-by-wire chassis is huge. A new requirement of the X-by-wire system, including the response, accuracy, energy consumption and fault-tolerance, is put forward. Based on the analysis of [...] Read more.
In accordance with the developing trend of “safety, comfort and low-carbon” technology, the market for intelligent X-by-wire chassis is huge. A new requirement of the X-by-wire system, including the response, accuracy, energy consumption and fault-tolerance, is put forward. Based on the analysis of the structure and design flow of the brake-by-wire (BBW) system, this paper analyzes the research status and development trend of the control methods of braking force, coordination control strategies and fault-tolerant control of the BBW system. The application possibilities of direct-driving technology in the BBW system are analyzed. At present, the key points of research focus on considering the influence of the multi-field coupling effect in the design, observing and compensating various nonlinear factors, and having a higher requirement for fault-tolerant control. Finally, an intelligent direct-driving BBW system is proposed as a research direction, which takes high efficiency and energy saving as a foothold and aims at breakthroughs in dynamic response, control accuracy and fault-tolerant abilities. Full article
(This article belongs to the Special Issue Intelligent Control of Actuator Systems)
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