Advanced Mechatronic Technologies in Industry 4.0 Era: Intelligent Systems, Advanced Control and Automation

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3130

Special Issue Editors


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Guest Editor
Department of Electrical Apparatus, Faculty of Electrical Engineering, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: inverse problems in electromagnetics and biomagnetics; electromagnetic fields; numerical methods; finite element method; boundary integral equation method; computer-aided design; optimization; image processing and visualization
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical Apparatus, Technical University of Sofia, 1156 Sofia, Bulgaria
Interests: computational electromagnetics; electromagnetic actuators and sensors; computer modeling; numerical methods; bio-electromagnetics; electromagnetic materials; 3D printing and additive technologies; design optimization and inverse problems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the Industry 4.0 concept has opened a new horizon for advanced technologies for control and automation, essentially for mechatronic intelligent systems. Digitalization on each level of the process opens new possibilities for resource and energy efficiency enhancement and increased needs of intelligent, autonomous automation. New mechatronic technologies and designs are essential parts of this development.

This Special Issue is focused on recent advances in intelligent systems, control and automation for green energy conversion, energy-efficient electromechanical devices, the digitalization of information and communication, the application of artificial intelligence, internet of things, as well as new magnetic materials and cyber-physical systems to meet the requirements of Industry 4.0.

Prof. Dr. Iliana Marinova
Prof. Dr. Valentin Mateev
Guest Editors

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Keywords

  • mechatronic technology
  • green energy
  • energy-efficient electromechanical devices
  • Industry 4.0
  • digitalization of information and communication
  • artificial intelligence
  • internet of things
  • industrial internet of things
  • cyber-physical systems
  • 3D modelling, design and prototyping
  • new functional materials
  • advanced image processing in industry
  • process optimization
  • industrial distributed ledger technologies

Published Papers (2 papers)

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Research

15 pages, 1837 KiB  
Article
Consensus of Fixed and Adaptive Coupled Multi-Agent Systems with Communication Delays
by Zicheng Qiu, Sheng Tian, Baoping Zhou, Qi Han, Yuan Tian, Tengfei Weng and Turghunjan Mamut
Electronics 2023, 12(6), 1279; https://doi.org/10.3390/electronics12061279 - 7 Mar 2023
Cited by 2 | Viewed by 960
Abstract
This paper aims to solve the consensus problem of three different types of multi-agent systems under fixed communication delay. For these three different types of multi-agent systems, three new control protocols are constructed to solve the consensus issue of multi-agent systems with coupling [...] Read more.
This paper aims to solve the consensus problem of three different types of multi-agent systems under fixed communication delay. For these three different types of multi-agent systems, three new control protocols are constructed to solve the consensus issue of multi-agent systems with coupling weights, which is rarely considered in other related articles. For fixed coupled multi-agent systems, a new control strategy is designed by Lyapunov theory, matrix theory, and the inequality method to ensure the consensus of multi-agent systems. An adaptive coupling weight updating scheme is proposed for adaptive coupling multi-agent systems to achieve the consensus state of the multi-agent systems. Finally, experimental results show the effectiveness of the proposed three different algorithms. Full article
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23 pages, 592 KiB  
Article
Formal Verification of Robot Rotary Kinematics
by Guojun Xie, Huanhuan Yang, Hao Deng, Zhengpu Shi and Gang Chen
Electronics 2023, 12(2), 369; https://doi.org/10.3390/electronics12020369 - 11 Jan 2023
Cited by 2 | Viewed by 1733
Abstract
With the widespread application of robots in aerospace, medicine, automation, and other fields, their motion safety is essential for the well-being of humans and the accomplishment of vital socially beneficial programs. Conventional robot hardware and software designs mainly rely on experiential knowledge and [...] Read more.
With the widespread application of robots in aerospace, medicine, automation, and other fields, their motion safety is essential for the well-being of humans and the accomplishment of vital socially beneficial programs. Conventional robot hardware and software designs mainly rely on experiential knowledge and manual testing to ensure safety, but this fails to cover all possible testing paths and adds risks. Alternatively, formal, mathematically rigorous verifications can provide predictable and reliable guarantees of robot motion safety. To demonstrate the feasibility of this approach, we formalize the mathematical coordinate transformation of a robot’s rigid-body kinematics using the Coq Proof Assistant to verify the correctness of its theoretical design. First, based on record-type matrix formalization, we define and verify a robot’s spatial geometry by constructing formal expressions of the matrix’ Frobenius norm, trace, and inner product. Second, we divide rotary motion into revolution and rotation construct and provide their formal definitions. Next, we formally verify the rotational matrices of angle conventions (e.g., roll–pitch–yaw and Euler), and we complete the formal verification of the Rodriguez formula to formally verify the correctness of the motion theory in specific rotating kinematics problems. The formal work of this paper has a variety of essential applications and provides a generalizable kinematics analysis framework for robot control system verification. Moreover, it paves the way for automatic programming capabilities. Full article
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