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New Insights into Optimal Control and Applications in Automotive Engineering

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: 31 October 2025 | Viewed by 1379

Special Issue Editors


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Guest Editor
Faculty of Industrial Engineering and Robotics, University Politehnica of Bucharest, 060042 Bucharest, Romania
Interests: optimal control models; optimization problems; automotive systems; automotive design

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Guest Editor
Department of Engineering Thermodynamics, University Politehnica of Bucharest, 060042 Bucharest, Romania
Interests: energy conversion; energy systems; refrigeration; air conditioning; solar energy; solar cooling; heat transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Connected with algorithms, computer science, artificial intelligence, machine learning, and experimental and theoretical approaches of applied mathematics are visibly present in various fields of industry and services to expand knowledge boundaries and improve global performance.

Modelling, optimisation, and estimation in order to better control the variation of processes and better foresee the potential results are of significant interest to businesses, with a tangible impact and promising potential revenue. Meanwhile, optimal control theory is essential for engineering in terms of product design, processes operation and management, but also for business models and new services in terms of planning, organisation, resources management, finance, marketing and sales, revealing numerous applications in industry.

This Special Issue aims to build a network for engineers, mathematicians, researchers, and academics to share applied mathematics contributions. This Special Issue concentrates on the automotive industry as one of the most dynamic fields worldwide that is experiencing significant changes due to artificial intelligence technologies, but submissions do not need to be restricted to this field.

The topics of particular interest for this Special Issue include but are not limited to experimental and theoretical developments, such as:

  • Examples of controlled dynamics;
  • Optimal control models;
  • Multi-objective constraint optimization problems;
  • Multidisciplinary optimization problems;
  • Practical approaches and methods for design and process control in automotive systems;
  • Optimization in performance improvement;
  • Links between design and industrial processes;
  • Business models and performance control.

Prof. Dr. Irina Severin
Dr. Camelia Stanciu
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. Applied Sciences is an international peer-reviewed open access semimonthly 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.

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Published Papers (1 paper)

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Research

31 pages, 19175 KiB  
Article
Applicability of Virtual Commissioning Concepts in Industrial Robotics as a Solution for Compatibility Issues Between Virtual Simulation and Logic Control Software
by Alexandru Andrei, Florin-Adrian Nicolescu, Cristina Pupăză, Cezara-Georgia Coman and Ionuț Gabriel Ghionea
Appl. Sci. 2025, 15(4), 2033; https://doi.org/10.3390/app15042033 - 14 Feb 2025
Viewed by 708
Abstract
This article presents the results of applied research focused on the development of a hybrid software solution, which is based on the ABB RobotStudio 2021 suite, because even in the latest version, RobotStudio 10 does not have a dedicated virtual commissioning module. The [...] Read more.
This article presents the results of applied research focused on the development of a hybrid software solution, which is based on the ABB RobotStudio 2021 suite, because even in the latest version, RobotStudio 10 does not have a dedicated virtual commissioning module. The aim of the study is to explore the potential communication capabilities between ABB RobotStudio and Siemens Simatic Robot Integrator and to unify control systems for performing virtual commissioning tasks. The proposed solution offers valuable procedures for any end user responsible for implementing robotic cell virtual commissioning tasks and ensures the compatibility between hardware and software components from ABB and Siemens manufacturers integrated into any robotic cell type. Siemens, one of the leading PLC manufacturers, offers the complex PLM platform Process Simulate, which can be integrated with the Totally Integrated Automation (TIA) Portal and Mechatronics Concept Designer (MCD) for developing virtual commissioning (VC) applications. The TIA Portal is recognized by robotics application integrators as the most efficient work environment for VC. However, there is currently no direct compatibility between the ABB RobotStudio (RS) platform and Siemens TIA Portal. To address integration challenges, Siemens has introduced the Simatic Robot Integrator (SRI) platform, which ensures compatibility with certain proprietary software from various robot manufacturers, including KUKA, Motoman, and Staubli. While Siemens has collaborated with manufacturers like KUKA and Kawasaki, major industry manufacturers such as ABB and Fanuc have yet to establish a standardized interface within the Siemens SRI platform. A mathematical model was also developed, which serves as a key perspective and a valuable tool for the future integration of double-portal-type robots into the working environments of ABB and Siemens. This integration aims to facilitate virtual commissioning in scenarios where such robots need to be implemented. Currently, ABB’s library does not include double-portal-type robots, despite the fact that leading manufacturers of double-portal robot types utilize ABB’s IRC5 controllers. Full article
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