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Special Issue "Electrical Machine Design"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: 1 May 2019

Special Issue Editors

Guest Editor
Prof. Dr. Johan Gyselinck

Electro And Mechanical Systems Department, Université Libre de Bruxelles, Bruxelles, Belgium
Website | E-Mail
Interests: electrical machines and drives; numerical low-frequency magnetics
Guest Editor
Prof. Dr. Luigi Alberti

Department of Industrial Engineering, Università di Padova, Padova, Italy
Website | E-Mail
Interests: electrical machines design; electrical drives; numerical simulation of electrical machines
Guest Editor
Dr. Yves Mollet

Electro And Mechanical Systems Department, Université Libre de Bruxelles, Brussels, Belgium
Website | E-Mail
Interests: electrical machines and drives; fault-detection; noise and vibrations

Special Issue Information

Dear Colleagues,

Electrical machine design remains to date one of the most challenging disciplines in electrical engineering. The electrification of road vehicles, but also of aircraft, the reduction of global energy consumption and the development of various sustainable energy sources represent important topics in which the continuous development of novel machines plays, and will keep on playing, an important role. Besides sustainable development, novel machine designs are also essential for other advanced technologies, i.e. robotics, space and nanotechnology applications among others.

When designing a new machine, different objectives can be pursued: high efficiency and compactness, low manufacturing or maintenance costs, high reliability, robustness and fault tolerance, high speed or torque capabilities, operation in severe environments, etc. To take up challenges of designing new machines, innovative materials, optimized control techniques as well as fast and accurate design tools also need to be developed and integrated in the optimization process. Furthermore, besides electrical aspects, vibrations, heat transfer and acoustic noise need to be taken into account at the design stage in order to ensure optimal working conditions at both the component and system level. This shows the importance of modelling and testing the newly designed machines independently, but also in their working environment.

This special issue focuses on innovations in the context of electrical machine design.

Topics of interest for this Special Issue include, but are not limited to:

  • New machine types and topologies
  • Materials, iron losses
  • Multiphysics
  • New numerical and analytical modeling techniques
  • Optimisation techniques
  • Model-in-the-loop and hardware-in-the-loop testing techniques
  • Control oriented design
  • Nanomachines

Prof. Dr. Johan Gyselinck
Prof. Dr. Luigi Alberti
Dr. Yves Mollet
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. Energies 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

  • machine design 
  • optimization techniques 
  • model-in-the-loop, hardware-in-the-loop 
  • analytical modelling 
  • numerical modelling 
  • optimized control techniques

Published Papers (1 paper)

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Research

Open AccessArticle Dynamic Simulations of Adaptive Design Approaches to Control the Speed of an Induction Machine Considering Parameter Uncertainties and External Perturbations
Energies 2018, 11(9), 2339; https://doi.org/10.3390/en11092339
Received: 3 August 2018 / Revised: 26 August 2018 / Accepted: 3 September 2018 / Published: 5 September 2018
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Abstract
Recently, the Indirect Field Oriented Control (IFOC) scheme for Induction Motors (IM) has gained wide acceptance in high performance applications. The IFOC has remarkable characteristics of decoupling torque and flux along with an easy hardware implementation. However, the detuning limits the performance of
[...] Read more.
Recently, the Indirect Field Oriented Control (IFOC) scheme for Induction Motors (IM) has gained wide acceptance in high performance applications. The IFOC has remarkable characteristics of decoupling torque and flux along with an easy hardware implementation. However, the detuning limits the performance of drives due to uncertainties of parameters. Conventionally, the use of a Proportional Integral Differential (PID) controller has been very frequent in variable speed drive applications. However, it does not allow for the operation of an IM in a wide range of speeds. In order to tackle these problems, optimal, robust, and adaptive control algorithms are mostly in use. The work presented in this paper is based on new optimal, robust, and adaptive control strategies, including an Adaptive Proportional Integral (PI) controller, sliding mode control, Fuzzy Logic (FL) control based on Steepest Descent (SD), Levenberg-Marquardt (LM) algorithms, and Hybrid Control (HC) or adaptive sliding mode controller to overcome the deficiency of conventional control strategies. The main theme is to design a robust control scheme having faster dynamic response, reliable operation for parameter uncertainties and speed variation, and maximized torque and efficiency of the IM. The test bench of the IM control has three main parts: IM model, Inverter Model, and control structure. The IM is modelled in synchronous frame using d q modelling while the Space Vector Pulse Width Modulation (SVPWM) technique is used for modulation of the inverter. Our proposed controllers are critically analyzed and compared with the PI controller considering different conditions: parameter uncertainties, speed variation, load disturbances, and under electrical faults. In addition, the results validate the effectiveness of the designed controllers and are then related to former works. Full article
(This article belongs to the Special Issue Electrical Machine Design)
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