@article{MAKHILLIJEPE202014625336,
    title = {Artificial Neural Networks (ANN) of Proposed Linear Induction Motor with Hybrid
Secondary (HLIM) Considering the End Effect},
    journal = {International Journal of Electrical and Power Engineering},
    volume = {14},
    number = {6},
    pages = {85-92},
    year = {2020},
    issn = {1990-7958},
    doi = {ijepe.2020.85.92},
    url = {https://makhillpublications.co/view-article.php?issn=1990-7958&doi=ijepe.2020.85.92},
    author = {Arash,Nasim and},
    keywords = {Linear Induction Motors (LIMs),Hybrid secondary,Direct Thrust Force Control (DTFC),Particle Swarm Optimization (SPO)},
    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.}
    }