Comparative analysis of bilateral permanent magnet linear synchronous motors with different structures

Cui, Fengrui; Sun, Zhaolong; Xu, Wei; Zhou, Weichang

doi:10.30941/cestems.2020.00019

Cited by 22 publications

(9 citation statements)

References 5 publications

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“…The analytical model of the magnetic field can be used to predict machine performance such as its flux linkage, field energy, and produced back-EMF [25,26]. In the present work, the magnetic field distribution for a DSPMLG shown in Figure 2b is formulated using the Laplace and Poisson equations with these assumptions in mind: (i) the length of the linear machine is assumed to be infinite, (ii) the generator is assumed to be slotless, (iii) the magnetic permeability of the stator is assumed to be infinite.…”

Section: Magnetic Field Formulationmentioning

confidence: 99%

Design and analysis of a novel yokeless mover permanent magnet linear generator for free piston engine converter

Tajdiny

Monsef

Lessani

2021

IET Electric Power Appl

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Free piston engine generator (FPEG) is one of the recent solutions by researchers used in hybrid vehicles, which eventually can contribute to the reduction of environmental pollutants from public transports. The purpose of the this work is to introduce a novel dual-stator permanent magnet linear generator with yokeless mover (DSPMLG) to improve the key parameters of the linear generator used in FPEG systems. In this work, an analytical model of the DSPMLG magnetic field is developed to investigate magnetic field flux density distribution and for back-EMF prediction. Then, a two-dimensional (2D) model of the DSPMLG is put forth using the finite element method (FEM) to validate the analytical results. In the next section, 1D modelling and simulation of a twostroke free-piston engine (FPE) with dual-piston structure is done using Ricardo's WAVE software. The obtained results are used in the FEM simulation and prototype development in order to accurately evaluate the performance of the introduced generator in the FPEG system. Since the FPE velocity profile distorts the back-EMF, the effect of the velocity profile on back-EMF distortion is investigated using fast Fourier transform. Also, the DSPMLG is optimised for minimum back-EMF distortion, considering the maximum output power. To validate the simulation results, the DSPMLG is developed and the obtained experimental results have proper conformity with the simulation results. Finally, in order to weigh up the effectiveness of the proposed generator, its structure is compared with other reported structures in previous research studies based on the key indicators required for the linear generator used in FPEGs.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Magnetic Field Formulationmentioning

confidence: 99%

Design and analysis of a novel yokeless mover permanent magnet linear generator for free piston engine converter

Tajdiny

Monsef

Lessani

2021

IET Electric Power Appl

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“…Since electric drives for propulsion can eliminate the need for shafts and gearing while increasing vehicle stealth and power system flexibility, there has been a large number of advances on permanent magnet synchronous motors (PMSMs) for vehicle propulsion in power semiconductors, magnetic materials, and energy storage systems (Liu et al, 2018;Nguyen et al, 2018;Cui et al, 2020;Liu et al, 2021;Zhang et al, 2021;Fu et al, 2022). Novel propulsion configurations are pushing the need for the PMSM to operate at the location where torque is required, which in many propulsion systems is a harsh environment due to severe moisture, humidity, vibration, or temperature.…”

Section: Introductionmentioning

confidence: 99%

SMO-Based Sensorless Control of a Permanent Magnet Synchronous Motor

Liu¹,

Wang²,

Wang³

et al. 2022

Front. Energy Res.

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In order to reduce the chattering caused by the discontinuity of the control function in the traditional sliding mode observer (SMO), this article proposes a sliding mode observer with phase-locked loop (PLL) to estimate the speed and position of the rotor. The back electromotive force (EMF) of a permanent magnet synchronous motor (PMSM) in a static coordinate system is accurately estimated by SMO, and then, PLL is constructed to combine the observed rotor position angle and back EMF to compensate the phase lag in angle estimation so as to obtain a more accurate speed. It solves the problems of poor robustness and complex algorithms in the traditional SMO prediction algorithm. The simulation results show that the SMO with PLL can effectively reduce the system chattering and effectively improve the accuracy of rotor speed and position estimation.

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“…Permanent magnet synchronous motor (PMSM) has been widely used in the fields of new energy vehicles, power generation, and servo drive due to its advantages of large starting torque, high operation efficiency, high power density, and low failure rate (Chen et al, 2014;Chen et al, 2019;Cui et al, 2020;Wang et al, 2021). In the traditional vector control system, sensors are usually used to obtain rotor speed and position information; but in practical application, the existence of sensors increases the motor volume and system cost, and it is difficult to install and maintain in some harsh environments, which reduces the reliability of the system (Pan and Gao, 2018).…”

Section: Introductionmentioning

confidence: 99%

UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor

et al. 2022

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The accuracy of rotor position estimation determines the performance of the sensorless control system of a permanent magnet synchronous motor. In order to realize the accurate control of rotor position and speed, it is necessary to identify the motor parameters. Modeling and simulation of the state estimation are investigated for a permanent magnet synchronous motor with parameter identification based on the unscented Kalman filter (UKF) in this article. Based on the mathematical model of the motor, the unscented Kalman filter is used to identify the rotor flux and quadrature axis inductance simultaneously, and the identified parameters are used to update the motor model in the sensorless vector control algorithm. The simulation results show that the unscented Kalman filter can converge to the real value in a short time with small errors. It can follow the changes of motor parameters well and achieve high-precision speed and position estimation.

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Comparative analysis of bilateral permanent magnet linear synchronous motors with different structures

Cited by 22 publications

References 5 publications

Design and analysis of a novel yokeless mover permanent magnet linear generator for free piston engine converter

Design and analysis of a novel yokeless mover permanent magnet linear generator for free piston engine converter

SMO-Based Sensorless Control of a Permanent Magnet Synchronous Motor

UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor

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