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Machines
Special Issues
Intelligent Machines and Control Systems
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Intelligent Machines and Control Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 13899

Special Issue Editors

Prof. Dr. Giuseppe Carbone

E-Mail Website
Guest Editor
Department of Mechanical, Energy and Management Engineering, Università della Calabria, 87036 Rende, Italy
Interests: robotics; robot design; mechatronics; walking hexapod; design procedure; mechanics of machinery; leg–wheel
Special Issues, Collections and Topics in MDPI journals
Dr. Mingyang Xie

E-Mail Website
Guest Editor
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: intelligent robot; robot control; UAV flight control; multi-agent system

Special Issue Information

Dear Colleagues,

Recent research achievements and market trends are bringing machines into a new perspective where devices are more and more understood as cyber-physical systems with growing levels of autonomy and interconnection. This sets new challenges and requires innovative multidisciplinary approaches and solutions. This Special Issue addresses the aims at disseminating the latest research achievements, findings, and ideas on the wide topic of Intelligent Machines and Control Systems. The Special issue content is particularly linked to the 7th International Conference on Control, Automation and Robotics (ICCAR 2021). Although submissions are welcome from the general research community on the following main topics:

Intelligent Control Systems and Optimization

  • Genetic Algorithms
  • Fuzzy Control
  • Decision Support Systems
  • Machine Learning in Control Applications
  • Knowledge-based Systems Applications
  • Hybrid Learning Systems
  • Distributed Control Systems
  • Evolutionary Computation and Control <
  • Optimization Algorithms
  • Soft Computing
  • Software Agents for Intelligent Control Systems
  • Neural Networks based Control Systems
  • Planning and Scheduling
  • Intelligent Fault Detection and Diagnosis
  • Engineering Applications.

Robotics and Automation

  • Image Processing
  • Vision, Recognition and Reconstruction
  • Robot Design, Development and Control
  • Control and Supervision Systems
  • Telerobotics and Teleoperation
  • Vehicle Control Applications
  • Industrial Networks and Automation
  • Human-Robots Interfaces
  • Network Robotics
  • Autonomous Agents
  • Intelligent Transportation Technologies and Systems
  • Space and Underwater Robots
  • Modelling, Simulation and Architecture
  • Human-Machine Interfaces
  • Collective and Social Robots
  • Humanoid Robots
  • Cognitive Approach for Robotics
  • Mobile Robots and Intelligent Autonomous Systems
  • Mechatronics Systems
  • Virtual Environment, Virtual and Augmented Reality
  • Perception and Awareness
  • Surveillance, Fault detection and Diagnosis
  • Engineering Applications

Signal Processing, Sensors, Systems Modelling & Control

  • Adaptive Signal Processing and Control
  • Environmental Monitoring and Control
  • Optimization Problems in Signal Processing
  • Signal Reconstruction
  • Computer and Microprocessor-based Control
  • Real-Time Systems Control
  • Information-based Models for Control
  • Nonlinear Signals and Systems
  • System Identification
  • Instrumentation Networks and Software
  • Change Detection Problems
  • Time-frequency Analysis
  • Mechanical, Force and Tactile Sensors
  • Biological Inspired Sensors
  • Sensors Fusion
  • Intelligent Components for Control
  • System Modelling
  • Modelling, Analysis and Control of Discrete-event Systems
  • Modelling, Analysis and Control of Hybrid Dynamical Systems
  • Engineering Applications

Prof. Dr. Giuseppe Carbone
Dr. Mingyang Xie
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. Machines 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.

Published Papers (3 papers)

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Research

17 pages, 1357 KiB  
Article
A GEMMA-GRAFCET Generator for the Automation Software of Smart Manufacturing Systems
by Juan Manuel Castillo, Giacomo Barbieri, Alejandro Mejia, José Daniel Hernandez and Kelly Garces
Machines 2021, 9(10), 232; https://0-doi-org.brum.beds.ac.uk/10.3390/machines9100232 - 12 Oct 2021
Cited by 2 | Viewed by 3983
Abstract
Within the Industry 4.0 revolution, manufacturing enterprises are transforming to intelligent enterprises constituted by Smart Manufacturing Systems (SMSs). A key capability of SMSs is the ability to connect and communicate with each other through Industrial Internet of Things technologies, and protocols with standard [...] Read more.
Within the Industry 4.0 revolution, manufacturing enterprises are transforming to intelligent enterprises constituted by Smart Manufacturing Systems (SMSs). A key capability of SMSs is the ability to connect and communicate with each other through Industrial Internet of Things technologies, and protocols with standard syntax and semantics. In this context, the GEMMA-GRAFCET Methodology (GG-Methodology) provides a standard approach and vocabulary for the management of the Operational Modes (OMs) of SMSs through the automation software, bringing a common understanding of the exchanged data. Considering the lack of tools to implement the methodology, this work introduces an online tool based on Model-Driven Engineering–GEMMA-GRAFCET Generator (GG-Generator)–to specify and generate PLCopen XML code compliant with the GG-Methodology. The proposed GG-Generator is applied to a case study and validated using Virtual Commissioning and Dynamic Software Testing. Due to the consistency obtained between the GG-Methodology and the generated PLC code, the GG-Generator is expected to support the adoption of the methodology, thus contributing to the interoperability of SMSs through the standardization of the automation software for the management of their OMs. Full article
(This article belongs to the Special Issue Intelligent Machines and Control Systems)
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18 pages, 9555 KiB  
Article
A Low-Cost System for Remote Access and Control of Automation Equipment
by Praneel Chand, Mohammad Al-Rawi, Sebin James, Joseph Antony and Jobin Jose
Machines 2021, 9(7), 138; https://0-doi-org.brum.beds.ac.uk/10.3390/machines9070138 - 20 Jul 2021
Cited by 3 | Viewed by 4141
Abstract
The shift towards remote access and control of equipment has become more prominent, especially due to COVID-19 lockdowns. Access to physical/real equipment for practical learning remains important for engineering studies. Thus, this paper presents an approach for remotely accessing and controlling automation equipment [...] Read more.
The shift towards remote access and control of equipment has become more prominent, especially due to COVID-19 lockdowns. Access to physical/real equipment for practical learning remains important for engineering studies. Thus, this paper presents an approach for remotely accessing and controlling automation equipment for engineering practical activities. Specifically, it addresses the issue of accessing and controlling machines for programmable logic controller (PLC) programming tasks. The combination of a scheduler, remote desktop access, graphical user interface, and a micro-controller allows students to work remotely on practical equipment. The lab computer can be accessed via a remote computer to select one of multiple equipment for practical activities. A prototype system was constructed as proof of concept. The prototype system functions as required. Full article
(This article belongs to the Special Issue Intelligent Machines and Control Systems)
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18 pages, 6540 KiB  
Article
Designing a Low-Cost Mechatronic Device for Semi-Automatic Saffron Harvesting
by Alessandro Rocco Denarda, Andrea Manuello Bertetto and Giuseppe Carbone
Machines 2021, 9(5), 94; https://0-doi-org.brum.beds.ac.uk/10.3390/machines9050094 - 09 May 2021
Cited by 3 | Viewed by 4621
Abstract
This paper addresses the design of a novel mechatronic device for saffron harvesting. The main proposed challenge consists of proposing a new paradigm for semi-automatic harvesting of saffron flowers. The proposed novel solution is designed for being easily portable with user-friendly and cost-oriented [...] Read more.
This paper addresses the design of a novel mechatronic device for saffron harvesting. The main proposed challenge consists of proposing a new paradigm for semi-automatic harvesting of saffron flowers. The proposed novel solution is designed for being easily portable with user-friendly and cost-oriented features and with a fully electric battery-powered actuation. A preliminary concept design has been proposed as based on a specific novel cam mechanism in combination with an elastic spring for fulfilling the detachment of the flowers from their stems. Numerical calculations and simulations have been carried out to complete the full design of a proof-of-concept prototype. Preliminary experimental tests have been carried out to demonstrate the engineering feasibility and effectiveness of the proposed design solutions, whose concept has been submitted for patenting. Full article
(This article belongs to the Special Issue Intelligent Machines and Control Systems)
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