Quantitative Comparison of Linear Flux-Switching Permanent Magnet Motor With Linear Induction Motor for Electromagnetic Launch System

Cao, Ruiwu; Jin, Yi; Lu, Minghang; Zhang, Zheng

doi:10.1109/tie.2018.2798592

Cited by 73 publications

(31 citation statements)

References 25 publications

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“…In the last decade, a new and promising type of linear machine, Linear Primary Permanent Magnet Machine (LPPM), has emerged in the literature [3], [5], [22], [26], [74], [94]- [176]. However, a comprehensive review of linear machines for long stroke applications has not been published yet.…”

Section: Introductionmentioning

confidence: 99%

Linear Machines for Long Stroke Applications—A Review

et al. 2020

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This document reviews the current state of the art in the linear machine technology. First, the recent advancements in linear induction, switched reluctance and permanent magnet machines are presented. The ladder slit secondary configuration is identified as an interesting configuration for linear induction machines. In the case of switched reluctance machines, the mutually-coupled configuration has been found to equate the thrust capability of conventional permanent magnet machines. The capabilities of the so called linear primary permanent magnet, viz. switched-flux, flux-reversal, doubly-salient and vernier machines are presented afterwards. A guide of different options to enhance several characteristics of linear machines is also listed. A qualitative comparison of the capabilities of linear primary permanent magnet machines is given later, where linear vernier and switched-flux machines are identified as the most interesting configurations for long stroke applications. In order to demonstrate the validity of the presented comparison, three machines are selected from the literature, and their capabilities are compared under the same conditions to a conventional linear permanent magnet machine. It is found that the flux-reversal machines suffer from a very poor power factor, whereas the thrust capability of both vernier and switched-flux machines is confirmed. However, the overload capability of these machines is found to be substantially lower than the one from the conventional machine. Finally, some different research topics are identified and suggested for each type of machine.

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Section: Introductionmentioning

confidence: 99%

Linear Machines for Long Stroke Applications—A Review

et al. 2020

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“…They have advantages in regards to their small size, rapid dynamic response, and high positioning accuracy. Therefore, they are widely used in industrial automation [1][2][3][4][5] .…”

Section: Introductionmentioning

confidence: 99%

New optimization design method for a double secondary linear motor based on R-DNN modeling method and MCS optimization algorithm

Wang

Zhao

Zhou

et al. 2020

Chin. J. Electr. Eng.

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Traditional linear motor optimization methods typically use analytical models combined with intelligent optimization algorithms. However, this approach has disadvantages, e.g., the analytical model might not be accurate enough, and the intelligent optimization algorithm can easily fall into local optimization. A new linear motor optimization strategy combining an R-deep neural network (R-DNN) and modified cuckoo search (MCS) is proposed; additionally, the thrust lifting and thrust fluctuation reductions are regarded as optimization objectives. The R-DNN is a deep neural network modeling method using the rectified linear unit (RELU) activation function, and the MCS provides a faster convergence speed and stronger data search capability as compared with genetic algorithms, particle swarm optimization, and standard CS algorithms. Finally, the validity and accuracy of this work are proven based on prototype experiments.

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“…One important reason is the expensive construction cost since the permanent-magnets or armature windings must be equipped in the stator (rail) of the conventional PMLM. However, this problem can be solved by the primary PMLM (PPMLM) since both the permanent-magnets and armature windings can be mounted in the mover of PPMLM [11][12][13][14][15]. Generally, existing topologies of PPMLM can be divided into three main categories: double-salient type [11], flux-switching type [12][13][14], and flux reversal type [15].…”

Section: Introductionmentioning

confidence: 99%

Simplified Model Predictive Current Control of Primary Permanent-Magnet Linear Motor Traction Systems for Subway Applications

Wang

et al. 2019

Energies

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In this paper, a simplified model predictive current control (MPCC) is proposed for the primary permanent-magnet linear motor traction system in subway applications, which is fed by one two-level voltage-source-inverter (VSI). Based on the deadbeat concept, the reference voltage vector is calculated to eliminate the difference between the measured and reference currents in the next sampling period. Due to the discrete feature of the VSI, the reference voltage vector usually cannot be provided. Hence, the distance of a voltage vector is defined, and the voltage vector with the shortest distance is selected as the optimal one, which is called as the shortest distance principle in this paper. According to the shortest distance principle, the distribution of the reference voltage vector is divided into seven sectors, and the optimal voltage vector can be easily determined considering the location of the reference voltage vector. As a result, the computation cost is significantly reduced. However, the performances of MPCC are not affected by this simplification. The equivalence between the proposed and conventional MPCCs is proved in theory. All the theoretical analyses are verified by experimental results.

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Quantitative Comparison of Linear Flux-Switching Permanent Magnet Motor With Linear Induction Motor for Electromagnetic Launch System

Cited by 73 publications

References 25 publications

Linear Machines for Long Stroke Applications—A Review

Linear Machines for Long Stroke Applications—A Review

New optimization design method for a double secondary linear motor based on R-DNN modeling method and MCS optimization algorithm

Simplified Model Predictive Current Control of Primary Permanent-Magnet Linear Motor Traction Systems for Subway Applications

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