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Machines
Special Issues
Design and Control of Advanced Mechatronics Systems, Volume II
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Design and Control of Advanced Mechatronics Systems, 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: 31 May 2024 | Viewed by 1168

Special Issue Editors

Prof. Dr. Mingcong Deng

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Guest Editor
Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
Interests: nonlinear safety control and fault detection; real time estimation of human arm impedance; smart material actuators; micro hands; wireless power transfer systems; micro reactors
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Takao Sato

E-Mail Website
Guest Editor
School of Engineering & Graduate School of Engineering, University of Hyogo, Hyogo 671-2280, Japan
Interests: automatic control; control education; data-driven control; mechatronic systems
Special Issues, Collections and Topics in MDPI journals
Dr. Changan Jiang

E-Mail Website
Guest Editor
Department of Robotics, Osaka Institute of Technology, Osaka 535-8585, Japan
Interests: robotics; smart material actuators; robust control
Special Issues, Collections and Topics in MDPI journals
Dr. Lin Meng

E-Mail Website
Guest Editor
Department of Electronic and Computer Engineering, Ritsumeikan University, Kusatsu, Japan
Interests: processor architecture; high-performance computing; AI-based IoT; underwater drones; cultural heritage preservation and protection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The International Conference on Advanced Mechatronic Systems (ICAMechS) served as an international forum for professionals, academics, and researchers to present the latest developments from interdisciplinary theoretical studies, computational algorithm development, and applications of mechatronic systems. We are now planning to publish a Special Issue with selected excellent papers from the conference (ICAMechS 2022–2023). In addition, we particularly welcome new submissions on emerging methodologies and techniques that bridge theoretical studies and applications in all mechatronic systems. Novel quantitative engineering and science study papers are also of interest. SI papers are thus being solicited on all relevant aspects of research and application, including but not limited to:

  • Intelligent mechatronics, robotics, automation, and control systems;
  • Control system modeling and simulation techniques and methodologies;
  • Biomedical and rehabilitation engineering, prosthetics, and artificial organs;
  • Industrial automation, process control, manufacturing process, and automation;
  • CAD/CAM/CAE/CAP and manufacturing systems, technologies, and applications;
  • AI, intelligent control, fuzzy control, and their applications;
  • Signal and image processing and pattern recognition in mechatronic systems;
  • Wind energy conversion systems, aerodynamics, simulation, and optimization;
  • Grey systems, discrete event and hybrid systems and Petri nets;
  • Power systems (renewable energy, smart grids, micro grids, energy saving);
  • Energy and the environment.

Prof. Dr. Mingcong Deng
Prof. Dr. Takao Sato
Dr. Changan Jiang
Dr. Lin Meng
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 (1 paper)

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Research

14 pages, 3533 KiB  
Article
Perfect Tracking Control of Linear Sliders Using Sliding Mode Control with Uncertainty Estimation Mechanism
by Tomoya Hoshina, Takato Yamada and Mingcong Deng
Machines 2024, 12(4), 212; https://doi.org/10.3390/machines12040212 - 22 Mar 2024
Viewed by 594
Abstract
This paper aims to achieve precise position control of a stage used in semiconductor exposure apparatus. The demand for smart devices, such as smartphones, is rapidly expanding, and their performance is expected to continue to improve. To manufacture these devices, it is necessary [...] Read more.
This paper aims to achieve precise position control of a stage used in semiconductor exposure apparatus. The demand for smart devices, such as smartphones, is rapidly expanding, and their performance is expected to continue to improve. To manufacture these devices, it is necessary to miniaturize semiconductor devices and improve productivity. The precise control of semiconductor exposure apparatus is important for the manufacture of ultra-small semiconductor devices. The stage of semiconductor exposure apparatus uses a linear motor, and this paper performs high-precision perfect tracking control of this stage. Perfect tracking control is a control method that always follows the command value while the command value changes moment by moment, and requires high accuracy. In high-precision positioning, uncertainty in the stage model has a significant impact. Therefore, this paper proposes a method to reduce tracking errors due to the influence of uncertainty by performing uncertainty compensation using sliding mode control with the estimated value of uncertainty. The estimation of uncertainty uses a method that combines Kernel LMS with an observer. Instead of the widely used Gaussian kernel, this paper uses a generalized Gaussian kernel that allows for finer parameter settings. Furthermore, this paper proposes a method to adaptively optimize the shape parameter of the generalized Gaussian kernel. Our simulations and experiments confirm that the proposed method improves tracking performance compared to conventional sliding mode control. Full article
(This article belongs to the Special Issue Design and Control of Advanced Mechatronics Systems, Volume II)
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