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Machines
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Advances in Applied Mechatronics, Volume II
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Advances in Applied Mechatronics, Volume II

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 3666

Special Issue Editors

Dr. Aydin Azizi

E-Mail Website
Guest Editor
School of Engineering, Computing and Mathematics, Oxford Brookes University, Wheatley Campus, Wheatley, Oxford OX33 1HX, UK
Interests: mechatronics; control & automation; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Wenjun (Chris) Zhang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
Interests: mechanical design; dynamic system and control; MEMS; robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of our previous Special Issue, “Advances in Applied Mechatronics” (https://www.mdpi.com/journal/machines/special_issues/applied_mechatronics), we are pleased to announce the next in the series, entitled “Advances in Applied Mechatronics, Volume II”. 

The term "mechatronics" was coined in 1969 by senior Japanese engineer Tetsura Mori, and the field has indeed been said to have grown out of robotics. Early on, robot arms were uncoordinated and had no sensory feedback, but as advances have been made in programming, sensor technology, and controls, the robotic movements have become more coordinated. Mechatronics is the combination of mechanical, electrical and electronic features, control, automation and computer engineering. The main research task of mechatronics is the development and control of advanced hybrid systems covering all these fields and is supported by interdisciplinary studies. Several new technologies have emerged that have allowed designers to revolutionize their approach. Some ideas were impossible to implement a decade ago; however, with the advent of these technologies, these ideas have been revised, and mechatronic design methods have begun to be considered. As mechatronic systems become more complex, the challenges associated with successfully executing them also become more demanding.

The purpose of this Special Issue, in general, is to help us better understand how mechatronics will impact the practice and research of developing advanced techniques to model, control and optimize complex systems. This Special Issue presents the current state of advances in mechatronics and related technologies, including topics such as automatic control, robotics, agent-based systems, smart manufacturing and Industry 4.0. The selected topics provide an overview of the state of the art and present new research results and prospects of the future development in the interdisciplinary field of mechatronic systems. This Special Issue will provide up-to-date and useful knowledge for researchers and engineers involved in mechatronics and related fields.

Within the above dimensions, this Special Issue welcomes high-quality original research and review articles that cover a broad range of topics related to theoretical and applied aspects of modern mechatronics.

Potential topics include, but are not limited to, the following:

  • Advanced smart automation technologies in mechatronics;
  • MEMS dynamics and control;
  • Sensor design and data collection approaches;
  • Model-based mechatronic system design;
  • Mechatronics and smart manufacturing systems;
  • Computational intelligence in mechatronic systems;
  • Artificial intelligence in mechatronic systems;
  • Mechanism synthesis, analysis, and design;
  • Modeling, control and optimization of complex mechatronic systems;
  • Novel robotic systems;
  • Intelligent health monitoring and supervisory control of mechatronic systems;
  • Medical mechatronics for healthcare.

Dr. Aydin Azizi
Prof. Dr. Wenjun (Chris) Zhang
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.

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Related Special Issue

Published Papers (4 papers)

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Research

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15 pages, 2222 KiB  
Article
LSTM-Inversion-Based Feedforward–Feedback Nanopositioning Control
by Ruocheng Yin and Juan Ren
Machines 2024, 12(11), 747; https://doi.org/10.3390/machines12110747 - 22 Oct 2024
Viewed by 440
Abstract
This work proposes a two-degree of freedom (2DOF) controller for motion tracking of nanopositioning devices, such as piezoelectric actuators (PEAs), with a broad bandwidth and high precision. The proposed 2DOF controller consists of an inversion feedforward controller and a real-time feedback controller. The [...] Read more.
This work proposes a two-degree of freedom (2DOF) controller for motion tracking of nanopositioning devices, such as piezoelectric actuators (PEAs), with a broad bandwidth and high precision. The proposed 2DOF controller consists of an inversion feedforward controller and a real-time feedback controller. The feedforward controller, a sequence-to-sequence LSTM-based inversion model (invLSTMs2s), is used to compensate for the nonlinearity of the PEA, especially at high frequencies, and is collaboratively integrated with a linear MPC feedback controller, which ensures the PEA position tracking performance at low frequencies. Therefore, the proposed 2DOF controller, namely, invLSTMs2s+MPC, is able to achieve high precision over a broad bandwidth. To validate the proposed controller, the uncertainty of invLSTMs2s is checked such that the integration of an inversion model-based feedforward controller has a positive impact on the trajectory tracking performance compared to feedback control only. Experimental validation on a commercial PEA and comparison with existing approaches demonstrate that high tracking accuracies can be achieved by invLSTMs2s+MPC for various reference trajectories. Moreover, invLSTMs2s+MPC is further demonstrated on a multi-dimensional PEA platform for simultaneous multi-direction positioning control. Full article
(This article belongs to the Special Issue Advances in Applied Mechatronics, Volume II)
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25 pages, 15676 KiB  
Article
Electromagnetic Characterization of Permanent Magnet Eddy Current Structures Based on Backplane Distance Adjustment
by Yipeng Wu, Teng Wang, Tao Song and Wenxiao Guo
Machines 2024, 12(5), 343; https://doi.org/10.3390/machines12050343 - 15 May 2024
Viewed by 805
Abstract
To address the problem of problematic spray design inside mining anchor-digging equipment, a switching seal using a permanent magnet eddy current drive is initially presented here. The layer model of the permanent magnet eddy current structure is established, the subdomain analysis model is [...] Read more.
To address the problem of problematic spray design inside mining anchor-digging equipment, a switching seal using a permanent magnet eddy current drive is initially presented here. The layer model of the permanent magnet eddy current structure is established, the subdomain analysis model is introduced, the permanent magnet eddy current structure is divided into six regions along the axial direction, and the boundary equations are established at the interfaces of each region. The vector magnetic potential equations in each region are deduced, along with the electromagnetic torque and axial force equations. The computational results are compared and analyzed with the results of finite element simulation, verifying the accuracy of the theoretical model. The design of experiments is used to verify the feasibility of the switching seal using the permanent magnet eddy current structure. Full article
(This article belongs to the Special Issue Advances in Applied Mechatronics, Volume II)
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25 pages, 18680 KiB  
Article
Structural Optimization of an Unmanned Ground Vehicle as Part of a Robotic Grazing System Design
by Nikola Korunović, Milan Banić, Vukašin Pavlović and Tamara Nestorović
Machines 2024, 12(5), 323; https://doi.org/10.3390/machines12050323 - 8 May 2024
Viewed by 1067
Abstract
Unmanned ground vehicles (UGVs) have gained increased attention in different fields of application; therefore, their optimization requires special attention. Lowering the mass of a UGV is especially important to increase its autonomy, agility, and payload capacity and to reduce dynamic forces. This contribution [...] Read more.
Unmanned ground vehicles (UGVs) have gained increased attention in different fields of application; therefore, their optimization requires special attention. Lowering the mass of a UGV is especially important to increase its autonomy, agility, and payload capacity and to reduce dynamic forces. This contribution deals with optimizing a UGV unit prototype that, when connected with similar units, forms a moving electric fence for animal grazing. Together, these units form a robotic system that is intended to solve the critical problem of lack of human capacity in herding and grazing. This approach employs topology optimization (TO) and finite element analysis (FEA) to lower the mass of a UGV unit and validate the design of its structural components. To our knowledge, no optimization of this type of UGV has been reported in the literature. Here, we present the results of a case study in which a set of four load cases served as a basis for the optimization of the UGV frame. Response surface analysis (RSA) was used to identify the worst load cases, while substructuring was used to allow for more detailed meshing of the frame portion that was subjected to TO. Thereby, we demonstrate that the prototype of the UGV unit can be built using standard parts and that TO and FEA can be efficiently used to optimize the load-carrying structure of such a specific vehicle. Full article
(This article belongs to the Special Issue Advances in Applied Mechatronics, Volume II)
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Review

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15 pages, 4251 KiB  
Review
Nonlinear Passive Observer for Motion Estimation in Multi-Axis Precision Motion Control
by Hector Gutierrez and Dengfeng Li
Machines 2024, 12(6), 376; https://doi.org/10.3390/machines12060376 - 30 May 2024
Viewed by 555
Abstract
A nonlinear passive observer (NPO) for estimating the time-varying velocity vector of a multi-axis high-precision motion control stage is presented. The proposed nonlinear estimation strategy is developed based on a Lyapunov stability analysis, which proves that the NPO is stable. Three test cases [...] Read more.
A nonlinear passive observer (NPO) for estimating the time-varying velocity vector of a multi-axis high-precision motion control stage is presented. The proposed nonlinear estimation strategy is developed based on a Lyapunov stability analysis, which proves that the NPO is stable. Three test cases are used to investigate the performance of the proposed observer. Experimental results are given to demonstrate the performance of the proposed NPO in accurately estimating time-varying velocity during alignment, reciprocating motion, and multi-axis motion in high-precision motion control applications. Full article
(This article belongs to the Special Issue Advances in Applied Mechatronics, Volume II)
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