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Energies
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Design, Analysis, Optimization and Control of Electric Machines
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Design, Analysis, Optimization and Control of Electric Machines

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 21 August 2024 | Viewed by 5285

Special Issue Editors

Dr. Dan-Cristian Popa

E-Mail Website
Guest Editor
Department of Electrical Machines and Drives, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Interests: design of electric machines; numerical and analytical analysis; transverse flux machines; induction machines; transformers
Special Issues, Collections and Topics in MDPI journals
Dr. Ioana-Cornelia Gros

E-Mail Website
Guest Editor
Department of Electrical Machines and Drives, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Interests: modern digital strategies for electric drive control; FPGA HILS testing models; embedded systems; real-time applications

Special Issue Information

Dear Colleagues,

As is well known, the use of electric machines plays an important role in the development of modern society, including in new branches of industry such as robotics, electric vehicle propulsion systems, energy conversion systems, and others. Given the significant share of electric machines in total energy consumption, their performance is an important topic for researchers, especially today, when energy saving is a major concern for the whole planet. Improving the performance of electric machines can be achieved both in the stage of design and control. In this context, in research work, the analysis of new topologies or even proposals for new structures, combined with their optimization carried out analytically or numerically, are research topics to which the utmost importance must be given.

This Special Issue aims to present and disseminate studies on the design approach, methods of analysis, optimization, and control of all types of electric machines.

The topics of interest for publication are listed below, without being limited to:

  • Design of conventional and new topologies of electric machines for various applications;
  • Analytical studies and numerical analysis of induction machines, synchronous machines (with/without a permanent magnet), synchronous reluctance machines, switched reluctance machines, brushless DC machines and new topologies of electric machines;
  • Methods of optimization for all types of electric machines;
  • Control strategies for all types of electric machines for various applications;
  • Novel applications of electric machines.

Dr. Dan-Cristian Popa
Dr. Ioana-Cornelia Gros
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. Energies is an international peer-reviewed open access semimonthly 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 2600 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

  • electric machines
  • design
  • analytical study
  • numerical analysis
  • optimization
  • control strategies

Published Papers (2 papers)

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Research

22 pages, 8307 KiB  
Article
Analysis and Approximation of THD and Torque Ripple of Induction Motor for SVPWM Control of VSI
by Grzegorz Sieklucki, Sylwester Sobieraj, Józef Gromba and Raluca-Elena Necula
Energies 2023, 16(12), 4628; https://doi.org/10.3390/en16124628 - 10 Jun 2023
Cited by 1 | Viewed by 1075
Abstract
This article presents a harmonic analysis of the stator currents of a squirrel-cage induction motor fed by a voltage source inverter with PWM space vector control (SVPWM). The influence of PWM switching frequency and dead time (dead band) of controlled transistors on THD [...] Read more.
This article presents a harmonic analysis of the stator currents of a squirrel-cage induction motor fed by a voltage source inverter with PWM space vector control (SVPWM). The influence of PWM switching frequency and dead time (dead band) of controlled transistors on THD and electromagnetic torque ripple is shown. The aim is to determine the lowest switching frequency of the transistors for which the drive will operate correctly. Characteristics were determined as functions in the form of THD (fPWM), where the least square approximation was used for stator current measurements when the PWM switching frequency was changed. The approximations were realized for simulation and experimental results. To clarify the results, the operation of hardware PWM circuits in microcontrollers is analyzed. Full article
(This article belongs to the Special Issue Design, Analysis, Optimization and Control of Electric Machines)
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28 pages, 6372 KiB  
Article
Optimization of Energy Consumption of Industrial Robots Using Classical PID and MPC Controllers
by Rabab Benotsmane and György Kovács
Energies 2023, 16(8), 3499; https://doi.org/10.3390/en16083499 - 17 Apr 2023
Cited by 12 | Viewed by 3702
Abstract
Industrial robots have a key role in the concept of Industry 4.0. On the one hand, these systems improve quality and productivity, but on the other hand, they require a huge amount of energy. Energy saving solutions have to be developed and applied [...] Read more.
Industrial robots have a key role in the concept of Industry 4.0. On the one hand, these systems improve quality and productivity, but on the other hand, they require a huge amount of energy. Energy saving solutions have to be developed and applied to provide sustainable production. The purpose of this research is to develop the optimal control strategy for industrial robots in order to minimize energy consumption. Therefore, a case study was conducted for the development of two control strategies to be applied to the RV-2AJ Mitsubishi robot arm with 5 DOF, where the system is a nonlinear one. The first examined controller is the classical linear proportional integral derivative (PID) controller, while the second one is the linear model predictive control (MPC) controller. In our study, the performances of both the classical PID model and the linear MPC controller were compared. As a result, it was found that the MPC controller in the execution of the three defined reference trajectories [(1) curve motion, (2) N-shaped motion, and (3) circle motion] was always faster and required less energy consumption, whereas in terms of precision the PID succeeded in executing the trajectory more precisely than the MPC but with higher energy consumption. The main contribution of the research is that the performances of the two control strategies with regard to a complex dynamic system were compared in the case of the execution of three different trajectories. The evaluations show that the MPC controller is, on the one hand, more energy efficient; on the other hand, it provides a shorter cycle time compared to the PID controller. Full article
(This article belongs to the Special Issue Design, Analysis, Optimization and Control of Electric Machines)
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