Special Issue "Design and Control of Electrical Machines"

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Prof. Dr. Fu-Cheng Wang
E-Mail Website
Guest Editor
Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan
Interests: robust control;vibration control; system integration; medical engineering;energy systems
Prof. Dr. Chih-Cheng Lu
E-Mail Website
Guest Editor
Department of Intelligent Automation Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Interests: MEMS; CMOS-MEMS smart sensors; bio-medical and magnetic sensors; bio-mechatronics; IOTs; artificial intelligence in engineering ;medical applications
Prof. Dr. Sendren Sheng-Dong Xu
E-Mail Website
Guest Editor
Graduate Institute of Automation & Control, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
Interests: intelligent control systems;signal and image processing; embedded systems with applications
Prof. Dr. Wei-Jiun Su
E-Mail Website
Guest Editor
Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan
Interests: piezoelectric energy harvesting; vibration and dynamics; mechatronics; vehicle dynamics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Electrical machines play an important role in modern industry. Novel design and advanced control strategies have contributed to the performance improvements of electrical machines and their applications, such as motors, electric vehicles, and power devices. New techniques have also emerged for the control of electrical machines, including artificial intelligence, wireless sensor networks, internet of things, and big data analysis. This Special Issue focuses on the advances related to electrical machines, such as novel designs; novel control strategies; and new technologies including WSNs, IoT, artificial intelligence, new applications, etc. Papers related to electrical machines in this field are most welcome. Topics of interest for publication include, but are not limited to:

  • Novel design of electrical machines.
  • New system architectures and technologies.
  • Electric vehicles, including land, sea, and air vehicles.
  • Applications of electrical machines.
  • Modelling and control of electrical machines and systems.
  • Power devices and systems.
  • Advanced control and optimization algorithms for electrical power systems.
  • Application of WSNs, IoT, and artificial intelligence in electrical machines and systems.

Prof. Dr. Fu-Cheng Wang
Prof. Dr. Chih-Cheng Lu
Prof. Dr. Sendren Sheng-Dong Xu
Prof. Dr. Wei-Jiun Su
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 papers will be 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 1600 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.

Keywords

  • electrical machines and systems
  • novel design
  • advanced control
  • wireless sensor network
  • internet of things
  • artificial intelligence
  • electric vehicles
  • power devices
  • power systems
  • applications

Published Papers (2 papers)

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Research

Communication
Improved Haptic Transparency of Bilateral Control Using Torque-Measured Magnetic Coupling
Machines 2021, 9(8), 172; https://doi.org/10.3390/machines9080172 - 18 Aug 2021
Viewed by 225
Abstract
The integrity and transparency of a haptic feedback in a bilateral control is crucial for precise and accurate operators’ sensation during human–machine interactions. Conventional master and slave bilateral control systems are often subject to unknown or unwanted disturbances and dynamics in the actuators [...] Read more.
The integrity and transparency of a haptic feedback in a bilateral control is crucial for precise and accurate operators’ sensation during human–machine interactions. Conventional master and slave bilateral control systems are often subject to unknown or unwanted disturbances and dynamics in the actuators and powertrain linkages that hamper the haptic feedback integrity and transparency. Force sensor torque sensing and feedback control are required to mitigate these effects. In contrast to the conventional approach of introducing torque sensing using a mechanical spring, this paper introduces a magnetic coupling as a torque sensor to detect reaction torque between the human input and the master actuator. Disturbance observer-based torque feedback control is designed to suppress the disturbances and tailor the haptic transparency dynamics. Experimental results on a virtual reality interaction system, which involves the steering wheel bilateral control in a cyber-physical driving simulator system, demonstrate the feasibility and effectiveness of the proposed method with improved haptic integrity and transparency. Full article
(This article belongs to the Special Issue Design and Control of Electrical Machines)
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Article
Iterative Parameter Optimization for Multiple Switching Control Applied to a Precision Stage for Microfabrication
Machines 2021, 9(8), 153; https://doi.org/10.3390/machines9080153 - 03 Aug 2021
Viewed by 301
Abstract
This paper proposes an iteration procedure to derive optimal parameters for a multiple switching control architecture. Control design is usually a compromise between various performance requirements; therefore, switching between multiple controllers that achieve a particular performance under different conditions can potentially improve the [...] Read more.
This paper proposes an iteration procedure to derive optimal parameters for a multiple switching control architecture. Control design is usually a compromise between various performance requirements; therefore, switching between multiple controllers that achieve a particular performance under different conditions can potentially improve the overall system behavior. In this paper, we consider a control-switching mechanism that can automatically switch controllers based on the prediction of future responses, and we develop an iteration procedure that can optimize the mechanism parameters, such as the number of controllers and the prediction horizon. We then implement the proposed mechanism in a long-stroke precision stage, and demonstrate the effectiveness of switching robust control with simulations and experiments. Lastly, we integrate the stage with a two-photon polymerization system to fabricate microlenses. The optical properties confirm that the proposed iterative parameter optimization procedure is effective in improving the performance of microfabrication employing multiple switching control. Full article
(This article belongs to the Special Issue Design and Control of Electrical Machines)
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