Design, Analytical Modeling, Optimization, and Application of Motor Drives

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 2853

Special Issue Editors


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Guest Editor
Robotics and Autonomous Systems Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Interests: design, analytical modeling, and the optimization of motor topologies; power electronics and control strategy strategies for motor drives; the application of motor drives in robots and electrified transportation
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Special Issue Information

Dear Colleagues,

Motor drives have significantly developed since the first prototype was invented in the 19th century. Classic as motor drives are, they have been applied in many emerging industries, such as electrified transportation and robotics, with the aim of reducing energy consumption, lowering operating costs, and improving performance. Advances in topologies, materials, control systems, and power electronics have made motor drives more efficient, compact, and reliable. However, the design, analytic modeling, optimization, and application of motor drives still pose many challenges. Further research and development in designing, analytic modeling, optimizing, and applying motor drives are crucial to meet the growing demands for efficient, compact, and reliable motor systems.

This Special Issue aims to provide a platform for researchers to share their latest findings and applications related to motor drives. The Special Issue covers a wide range of topics, including flux-modulated electric machines, high-speed motors, direct-drive motors, integrated motor drives, analytical modeling, multi-physics analysis, surrogate-model-based optimization, multi-objective optimization, traction motors for electrified transportation, and joint motors for robots. We welcome original research articles, review papers, and case studies related to these topics. Manuscripts with real experiments are encouraged.

Keywords:

  • Flux-modulated electric machines
  • High-speed motors
  • Direct-drive motors
  • Integrated motor drives
  • Analytical modeling
  • Multiphysics analysis
  • Surrogate-model-based optimization
  • Multi-objective optimization
  • Traction motors for electrified transportation
  • Joint motors for robots

Dr. Hang Zhao
Dr. Chunhua Liu
Guest Editors

Manuscript Submission Information

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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.

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Published Papers (4 papers)

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Research

18 pages, 8664 KiB  
Article
High-Efficient Direct Power Control Scheme Using Predictive Virtual Flux for Three-Phase Active Rectifiers
by Mihn Hoang Nguyen, Sangshin Kwak and Seungdeog Choi
Machines 2024, 12(5), 290; https://doi.org/10.3390/machines12050290 - 26 Apr 2024
Viewed by 224
Abstract
In recent years, the pulse-width-modulation (PWM) converter has been found to have extensive applications in renewable energy, industrial fields, and others. The high efficiency requirement is crucial to operating a PWM rectifier in various applications, in addition to the fundamental control objectives of [...] Read more.
In recent years, the pulse-width-modulation (PWM) converter has been found to have extensive applications in renewable energy, industrial fields, and others. The high efficiency requirement is crucial to operating a PWM rectifier in various applications, in addition to the fundamental control objectives of sinusoidal grid currents and the correct DC bus voltage. Additionally, in practical application, another issue arises when the grid voltage frequently experiences distortion, leading to a distorted grid current and a significant rise in total harmonic distortion (THD). To resolve these problems, a model predictive virtual flux-based direct power control (MPVFDPC) with improved power loss performance is proposed based on an integrated switching state predetermination strategy. The proposed MPVFDPC for PWM rectifier inherits the merits of both virtual flux control and direct power control, which have fast dynamic performance and the grid current THD is considerably decreased under distorted grid voltage states. The proposed technique aims to minimize switching loss under ideal and distorted grid voltage states by exploiting the discontinuous modulation concept by using a switching state predetermination strategy. The MPVFDPC with switching state predetermination strategy is proven by employing it in experiments as well as simulations in comparison with previous models: predictive direct power control (Conv. MPDPC) and conventional MPVFDPC (Conv. MPVFDPC). The acquired waveforms and quantitative data are employed to prove the effectiveness of the developed algorithm. Full article
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16 pages, 7933 KiB  
Article
Multi-Objective Optimization of Yokeless and Segmented Armature Machine for In-Wheel Traction Applications Based on the Taguchi Method
by Liang Su, Guangchen Wang, Yuan Gao, Pericle Zanchetta and Hengliang Zhang
Machines 2024, 12(4), 221; https://doi.org/10.3390/machines12040221 - 26 Mar 2024
Viewed by 578
Abstract
For electrical machines with complex structures, the design space of parameters can be large with high dimensions during optimization. Considering the calculation cost and time consumption, it is hard to optimize all the design parameters at the same time. Therefore, in that situation, [...] Read more.
For electrical machines with complex structures, the design space of parameters can be large with high dimensions during optimization. Considering the calculation cost and time consumption, it is hard to optimize all the design parameters at the same time. Therefore, in that situation, sensitivity analysis of these design parameters is usually used to sort out crucial parameters. In this paper, the sensitivity analysis-based Taguchi method is applied to optimize the axial-flux permanent magnet (AFPM) machine with yokeless and segmented armature (YASA) topology for an in-wheel traction system. According to the key parameters and their sensitivity analysis, the optimal machine scheme to meet the performance requirements can be formed. In this case study, the machine performance is improved significantly after optimization. Lastly, the experimental results verify the accuracy of the model used in this study. Full article
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33 pages, 22386 KiB  
Article
Finite Element Analysis of Different Transverse Flux Linear Induction Motor Models to Improve the Performance of the Main Magnetic Circuit
by Juan Antonio Domínguez, Natividad Duro and Elena Gaudioso
Machines 2024, 12(2), 89; https://doi.org/10.3390/machines12020089 - 24 Jan 2024
Viewed by 841
Abstract
This paper delves into the knowledge of transverse flux linear induction motors using three-dimensional finite element simulation tools. Original linear induction motors have a useful magnetic flux perpendicular to the movement. We propose some geometric changes to improve the main magnetic circuit of [...] Read more.
This paper delves into the knowledge of transverse flux linear induction motors using three-dimensional finite element simulation tools. Original linear induction motors have a useful magnetic flux perpendicular to the movement. We propose some geometric changes to improve the main magnetic circuit of the machine and to ensure simultaneous operation between longitudinal and transverse magnetic fluxes. To obtain the main parameters of the equivalent electrical circuit in a steady state, we propose two steps. Firstly, replicate the classic indirect tests used in rotating machines. This represents a significant advantage since it allows several models to be experimentally tested to obtain the values of electrical parameters. Secondly, use the data from these tests to solve a particular system of equations using numerical methods. The solution provides the electrical elements necessary to generate the equivalent circuit proposed by the authors. A quantitative analysis of the main electrical parameters is also carried out, confirming the advantages of the changes introduced. With them, a significant improvement in thrust force is obtained, especially in stationary conditions and low speeds. Finally, we study, in detail, a set of specific phenomena of linear machines using two parameters: the secondary equivalent air gap and the secondary equivalent conductivity. Full article
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26 pages, 3841 KiB  
Article
Discontinuous Control Algorithm for Buck Converter under Time-Varying Load and Input Voltage
by Svetlana A. Krasnova, Sergey Kochetkov and Victor A. Utkin
Machines 2023, 11(9), 890; https://doi.org/10.3390/machines11090890 - 05 Sep 2023
Cited by 1 | Viewed by 726
Abstract
In this paper, the problem of the output voltage regulation of buck converters is considered. The novelty of the problem statement is that the external electric load and the input voltage of the converter are unknown bounded functions of a certain class. In [...] Read more.
In this paper, the problem of the output voltage regulation of buck converters is considered. The novelty of the problem statement is that the external electric load and the input voltage of the converter are unknown bounded functions of a certain class. In particular, the external load equivalent scheme is similar to the successive connection of the inductive and resistive elements. In this case, the behavior of the load current is described by the differential equation with time-varying coefficients. In this equation, the equivalent inductance and resistance are described by unknown arbitrary bounded functions with several bounded derivatives. Under known bounds for these functions and their derivatives, the initial system can be transformed into the special form with smooth bounded perturbation. This disturbance is an unknown function, and its action channel differs from the input channel. Therefore, the influence on the unknown external load can not be compensated for directly by the control input. Due to this reason, the new control strategy is developed in the paper with the help of a “vortex” algorithm, which provides asymptotic convergence of the regulation error to zero in time. How to choose the converter parameters and the bounds for the input voltage to operate the closed-loop system properly are shown. The convergence proof is organized with the help of the Lyapunov function approach, and the transient rate is also estimated. The simulation results show the efficiency of the designed control law for the wide class of input voltage and electrical parameter functions. The proposed control scheme may be further used in electric drive systems. Full article
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