Nowadays, linear electric motors are used in industries and applications that require linear motion. Different classifications for linear motors can be considered that one of them is based on their secondary. They have two secondary types: Flat (FLIM) and Ladder (LLIM) secondary. LLIMs have more thrust force than FLIMs, however due to their higher design cost, they are less popular. In this paper we proposed a linear induction motor with Hybrid (HLIM) secondary and its relationships with consideration of the end effect. Then, this motor optimally designed using the Particle Swarm Optimization (PSO) algorithm. Next its output speed is controlled by the Direct Thrust Force Control (DTFC) method. According to the results, speed of HLIM reaches the desired speed in less time than and also less ripple than LLIM and FLIM. Also HLIM has more power factor as well as more thrust force and more efficiency than LLIM and FLIM. Also HLIM has less design cost than the LLIM and FLIM.
| Published in | American Journal of Electrical and Computer Engineering (Volume 5, Issue 1) |
| DOI | 10.11648/j.ajece.20210501.15 |
| Page(s) | 32-39 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Linear Induction Motors (LIMs), Hybrid Secondary, Direct Thrust Force Control (DTFC), Particle Swarm Optimization (SPO)
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APA Style
Arash Mousaei, Nasim Bahari, Guo Mieho. (2021). Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect. American Journal of Electrical and Computer Engineering, 5(1), 32-39. https://doi.org/10.11648/j.ajece.20210501.15
ACS Style
Arash Mousaei; Nasim Bahari; Guo Mieho. Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect. Am. J. Electr. Comput. Eng. 2021, 5(1), 32-39. doi: 10.11648/j.ajece.20210501.15
AMA Style
Arash Mousaei, Nasim Bahari, Guo Mieho. Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect. Am J Electr Comput Eng. 2021;5(1):32-39. doi: 10.11648/j.ajece.20210501.15
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Download@article{10.11648/j.ajece.20210501.15,
author = {Arash Mousaei and Nasim Bahari and Guo Mieho},
title = {Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect},
journal = {American Journal of Electrical and Computer Engineering},
volume = {5},
number = {1},
pages = {32-39},
doi = {10.11648/j.ajece.20210501.15},
url = {https://doi.org/10.11648/j.ajece.20210501.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20210501.15},
abstract = {Nowadays, linear electric motors are used in industries and applications that require linear motion. Different classifications for linear motors can be considered that one of them is based on their secondary. They have two secondary types: Flat (FLIM) and Ladder (LLIM) secondary. LLIMs have more thrust force than FLIMs, however due to their higher design cost, they are less popular. In this paper we proposed a linear induction motor with Hybrid (HLIM) secondary and its relationships with consideration of the end effect. Then, this motor optimally designed using the Particle Swarm Optimization (PSO) algorithm. Next its output speed is controlled by the Direct Thrust Force Control (DTFC) method. According to the results, speed of HLIM reaches the desired speed in less time than and also less ripple than LLIM and FLIM. Also HLIM has more power factor as well as more thrust force and more efficiency than LLIM and FLIM. Also HLIM has less design cost than the LLIM and FLIM.},
year = {2021}
}
TY - JOUR T1 - Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid Secondary (HLIM) Considering the End Effect AU - Arash Mousaei AU - Nasim Bahari AU - Guo Mieho Y1 - 2021/06/28 PY - 2021 N1 - https://doi.org/10.11648/j.ajece.20210501.15 DO - 10.11648/j.ajece.20210501.15 T2 - American Journal of Electrical and Computer Engineering JF - American Journal of Electrical and Computer Engineering JO - American Journal of Electrical and Computer Engineering SP - 32 EP - 39 PB - Science Publishing Group SN - 2640-0502 UR - https://doi.org/10.11648/j.ajece.20210501.15 AB - Nowadays, linear electric motors are used in industries and applications that require linear motion. Different classifications for linear motors can be considered that one of them is based on their secondary. They have two secondary types: Flat (FLIM) and Ladder (LLIM) secondary. LLIMs have more thrust force than FLIMs, however due to their higher design cost, they are less popular. In this paper we proposed a linear induction motor with Hybrid (HLIM) secondary and its relationships with consideration of the end effect. Then, this motor optimally designed using the Particle Swarm Optimization (PSO) algorithm. Next its output speed is controlled by the Direct Thrust Force Control (DTFC) method. According to the results, speed of HLIM reaches the desired speed in less time than and also less ripple than LLIM and FLIM. Also HLIM has more power factor as well as more thrust force and more efficiency than LLIM and FLIM. Also HLIM has less design cost than the LLIM and FLIM. VL - 5 IS - 1 ER -
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