International Journal of Electrical and Power Engineering
ISSN: Online 1993-6001ISSN: Print 1990-7958
Abstract
Now a days, 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. Theyhave 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 study 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.
How to cite this article:
Arash Mousaei, Nasim Bahari and Guo Mieho. Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid
Secondary (HLIM) Considering the End Effect.
DOI: https://doi.org/10.36478/ijepe.2020.85.92
URL: https://www.makhillpublications.co/view-article/1990-7958/ijepe.2020.85.92