A Novel High Power Density Permanent-Magnet Synchronous Machine With Wide Speed Range

Kong, Yong; Lin, Mingyao; Yang, Gongde

doi:10.1109/tmag.2019.2947611

Cited by 19 publications

(7 citation statements)

References 15 publications

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“…Today, permanent magnet (PM) synchronous motors (PMSMs) are the dominant technologies for many applications, including traction [24,25]. High efficiency, high torque density, and desirable wide speed range performance of these motors have made the technology popular among manufacturers [26][27][28]. PM materials are the most important elements of PMSMs.…”

Section: The Need For Synrmsmentioning

confidence: 99%

A Review of Synchronous Reluctance Motor-Drive Advancements

et al. 2021

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Recent studies show that synchronous reluctance motors (SynRMs) present promising technologies. As a result, research on trending SynRMs drive systems has expanded. This work disseminates the recent developments of design, modeling, and more specifically, control of these motors. Firstly, a brief study of the dominant motor technologies compared to SynRMs is carried out. Secondly, the most prominent motor control methods are studied and classified, which can come in handy for researchers and industries to opt for a proper control method for motor drive systems. Finally, the control strategies for different speed regions of SynRM are studied and the transitions between trajectories are analyzed.

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Section: The Need For Synrmsmentioning

confidence: 99%

A Review of Synchronous Reluctance Motor-Drive Advancements

et al. 2021

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“…Reference [21] presented the method of calculating core loss, which takes into account the harmonic effect of the magnetic flux density waveform on the core loss. The brief process is: (1) the magnetic flux density waveforms at each element of the meshed analysis model are calculated by FEM, (2) magnetic flux density waveforms are analyzed into frequency domain by using the Discrete Fourier Transforms (DFT), (3) the core losses at each element are calculated from the summation of the losses according to frequencies using DFT results and core loss curve, and (4) the total core loss is obtained by the summation of the core losses in all elements. This method is quite precise but complex.…”

Section: Electromagnetic Analysismentioning

confidence: 99%

“…Permanent magnet synchronous machines (PMSM) are preferably used for various applications which require high torque and power density in a limited space, like electric vehicles and robots [1]. There are several approaches to increase the power density of a PM motor, such as optimizing the geometric shape of either the stator or rotor [2,3], using Halbach Array PM type [4], or using soft magnetic alloy material for the stator core [5]. In general, to obtain the maximum power density of the motor, we need to consider both electromagnetic and thermal characteristics in the motor design process.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic and Thermal Analysis of a Permanent Magnet Motor Considering the Effect of Articulated Robot Link

Luu

Lee

et al. 2020

Energies

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This paper presents the electromagnetic and thermal characteristics of a permanent magnet synchronous motor (PMSM) in a joint actuator which is used for articulated robot application. In an attempt to design a compact PMSM for the articulated robot, robot link should be taken into consideration during the motor design process as it can reduce the temperature distribution on motor, thus reducing the volume of the motor. A lumped-parameter thermal model of PMSM with and without a link is proposed considering the core loss, copper loss, and mechanical loss as heat sources. The electromagnetic and thermal analysis results are well confirmed by the experiment in a 400 W 20-pole/24-slot PMSM. The experiment results show that the robot link helps to reduce the motor end-winding temperature by about 40%, and this leads to an increase in power density of the motor.

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“…It also possesses a high magnetic field strength and low internal resistance, enabling PMSM to achieve a higher power density and greater output power within a relatively smaller volume. Moreover, PMSM offers excellent torque-speed performance and sensitive current control ability, making it ideal for precision applications such as automatic control systems [3][4][5]. Despite its advantages, rare-earth elements such as NdFeB can be costly and raise concerns regarding the supply chain monopoly and trade wars.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Backstepping Control of Permanent Magnet-Assisted Synchronous Reluctance Motor Position Servo Drive with Recurrent Wavelet Fuzzy Neural Network

et al. 2023

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An intelligent servo drive system for a permanent magnet-assisted synchronous reluctance motor (PMASynRM) that can adapt to the control requirements considering the motor’s nonlinear and time-varying natures is developed in this study. A recurrent wavelet fuzzy neural network (RWFNN) with intelligent backstepping control is proposed to achieve this. In this study, first, a maximum torque per ampere (MTPA) controlled PMASynRM servo drive is introduced. A lookup table (LUT) is created, which is based on finite element analysis (FEA) results by using ANSYS Maxwell-2D dynamic model to determine the current angle command of the MTPA. Next, a backstepping control (BSC) system is created to accurately follow the desired position in the PMASynRM servo drive system while maintaining robust control characteristics. However, designing an efficient BSC for practical applications becomes challenging due to the lack of prior uncertainty information. To overcome this challenge, this study introduces an RWFNN as an approximation for the BSC, aiming to alleviate the limitations of the traditional BSC approach. An enhanced adaptive compensator is also incorporated into the RWFNN to handle potential approximation errors effectively. In addition, to ensure the stability of the RWFNN, the Lyapunov stability method is employed to develop online learning algorithms for the RWFNN and to guarantee its asymptotic stability. The proposed intelligent backstepping control with recurrent wavelet fuzzy neural network (IBSCRWFNN) demonstrates remarkable effectiveness and robustness in controlling the PMASynRM servo drive, as evidenced by the experimental results.

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A Novel High Power Density Permanent-Magnet Synchronous Machine With Wide Speed Range

Cited by 19 publications

References 15 publications

A Review of Synchronous Reluctance Motor-Drive Advancements

A Review of Synchronous Reluctance Motor-Drive Advancements

Electromagnetic and Thermal Analysis of a Permanent Magnet Motor Considering the Effect of Articulated Robot Link

Intelligent Backstepping Control of Permanent Magnet-Assisted Synchronous Reluctance Motor Position Servo Drive with Recurrent Wavelet Fuzzy Neural Network

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