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Machines
Special Issues
Advances in Electrical Machines and Drives
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Advances in Electrical Machines and Drives

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 9764

Special Issue Editors

Dr. Padmanaban Sanjeevikumar

E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark
Interests: power electronics; electrical drives; renewable energy; power electronics converter; modulation techniques; grid connected system
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jens Bo Holm-Nielsen

E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark
Interests: renewable energy systems; smart energy systems; biomass resources; biogas production; bio-refineries
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electric vehicles (EVs) play a role as key transportation technologies. Therefore, EVs and renewable energy have been integrated to execute the plan for an electric fleet transportation system to meet the targets made by the IEA (International Energy Agency) for 2030 and 2050—electric vehicles comprising more than 400 million electric cars and electric two-wheeler vehicles by 2030 and 2050, respectively. The annual EVs sale list in 2015 increased by more than 75% from 2014 numbers in these countries: France, Germany, Korea, Norway, Sweden, the UK, China, and India. Therefore, the rapidly growing technological advancements in the automotive industry are highly characterized by electrical machines (AC or DC). In particular, the ultimate goal is to reach zero greenhouse gas (GHG) and CO2 emission from electric vehicles or from power generation stations. Concerned with a clean environment, many types of electrical machine drive systems (AC or DC) and power electronic conversion units are being tested in automobiles. In addition, electrical machines with power electronic converters play a key role in an environment free from hazardous elements when fit to renewable energy systems for power generation (e.g., wind, PV, etc.). Thereby, electrical machine drives (AC or DC) are extensively investigated by researchers for their reliability, fault-tolerant structure, and redundancy capabilities. Further, the controllability of drive systems offer high-performance machines through new power conversion units and modulation techniques. This Special Issue will address and attract papers related to different aspects focused on electrical machine drive systems (AC or DC) for EVs and renewable energy applications, and the topics of interest are given below.

  • Modelling of new electrical machines (AC or DC) for electric vehicles and renewable energy applications.
  • Special-purpose electrical machines for industrial application.
  • Multiphase AC machines (synchronous-, asynchronous-, switched reluctance (SR)-, brush-less DC-, and permanent magnet-machines).
  • New control schemes for AC and DC machine drives for smooth propagation and controlling torque pulsations.
  • Special-purpose control algorithms based on adaptive control, sliding mode control (SMC), back-stepping control, predictive control, etc.
  • Power converter solutions for electrical machines (AC or DC) for reliable operation and improved torque performance for sensitivity speed control application.
  • New modulation schemes for AC and DC machine drives for enhanced and reliable performance.
  • Fault-tolerant control strategies for AC and DC machine drives for viable operation.
  • New adaption techniques to estimate state variables for electrical machine parameters.
  • Finite element tool analysis of electrical machines.
  • Cascaded (parallel or series) operation of electrical machines (motor or generator) for grid-connected applications.

As Guest Editors, we cordially invite you to submit your high-quality research findings as a manuscript for consideration and possible publication in this Special Issue “Advances in Electrical Machines and Drives”, to be published in the journal Machines.

All accepted articles will be published after international peer review. Your contribution is highly welcome, and we are looking forward to the great success of this Special Issue thanks in part to your high-quality research outcomes.

Yours Sincerely,

Dr. Sanjeevikumar Padmanaban
Prof. Jens Bo Holm-Nielsen
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.

Keywords

  • induction machines
  • synchronous machines
  • permanent magnet machines
  • brush-less DC machines
  • switched reluctance machine
  • DC machines
  • power converters
  • controlling methods
  • fault-tolerant strategies
  • estimation techniques

Published Papers (2 papers)

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Research

17 pages, 6080 KiB  
Article
Field Programmable Gate Array-Based Linear Shaft Motor Drive System Design in Terms of the Trapezoidal Velocity Profile Consideration
by Chiu-Keng Lai, Hsiang-Yueh Lai, Yong-Xiang Tang and En-Shen Chang
Machines 2019, 7(3), 59; https://doi.org/10.3390/machines7030059 - 09 Sep 2019
Cited by 4 | Viewed by 3360
Abstract
Owing to the benefits of programmable and parallel processing of the field programmable gate arrays (FPGAs), they have been widely used to the realization of digital controllers and motor drive systems. In this study, we adopt the FPGA chip to realize the Linear [...] Read more.
Owing to the benefits of programmable and parallel processing of the field programmable gate arrays (FPGAs), they have been widely used to the realization of digital controllers and motor drive systems. In this study, we adopt the FPGA chip to realize the Linear Shaft Motor (LSM) drive system which includes the position, speed and current vector controls. Linear shaft motor is a special motor which has the magnet as the shaft and stator coils are on the forcer. Thus, it reveals a small mechanical time constant. In addition, the electrical side can be looked as a general three-phase Alternating Current (AC) system which can be powered by inverter and vector control technique can be applied to the system. The designed system needs high performance calculation ability about position/speed control and vector current control loops. The mathematical model of linear shaft motor drive system is first built and simulated by MATLAB/Simulink and the accuracy about the effect from the speed estimation method is proposed. The resulting digital model of the drive system is stored into Verilog Hardware Description Language (Verilog HDL) codes and realized by FPGA. At last, the hardware circuits as well as the power module are used to test the performance of the developed hardware system in terms of the trapezoidal velocity profile. The experimental results show that the designed system realized by FPGA has attained the desired performance. Full article
(This article belongs to the Special Issue Advances in Electrical Machines and Drives)
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22 pages, 9851 KiB  
Article
Comprehensive Parameters Identification and Dynamic Model Validation of Interior-Mount Line-Start Permanent Magnet Synchronous Motors
by Luqman S. Maraaba, Zakariya M. Al-Hamouz, Abdulaziz S. Milhem and Ssennoga Twaha
Machines 2019, 7(1), 4; https://doi.org/10.3390/machines7010004 - 07 Jan 2019
Cited by 11 | Viewed by 4738
Abstract
The application of line-start permanent magnet synchronous motors (LSPMSMs) is rapidly spreading due to their advantages of high efficiency, high operational power factor, being self-starting, rendering them as highly needed in many applications in recent years. Although there have been standard methods for [...] Read more.
The application of line-start permanent magnet synchronous motors (LSPMSMs) is rapidly spreading due to their advantages of high efficiency, high operational power factor, being self-starting, rendering them as highly needed in many applications in recent years. Although there have been standard methods for the identification of parameters of synchronous and induction machines, most of them do not apply to LSPMSMs. This paper presents a study and analysis of different parameter identification methods for interior mount LSPMSM. Experimental tests have been performed in the laboratory on a 1-hp interior mount LSPMSM. The measurements have been validated by investigating the performance of the machine under different operating conditions using a developed qd0 mathematical model and an experimental setup. The dynamic and steady-state performance analyses have been performed using the determined parameters. It is found that the experimental results are close to the mathematical model results, confirming the accuracy of the studied test methods. Therefore, the output of this study will help in selecting the proper test method for LSPMSM. Full article
(This article belongs to the Special Issue Advances in Electrical Machines and Drives)
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