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Artificial Neural Nets in Electromagnetic Positioning Systems

Lukianov Evgeniy Anatolevich  (Ph.D. in Engineering sciences, Associate Professor, Don State Technical University, Rostov-on-Don)

Semenov Viacheslav Sergeevich  (post-graduate student, Robotics and mechatronics "Don State Technical University" Rostov-on-Don)

Dolgikh Alexey Vladimirovich  (graduate student, Don State Technical University, Rostov-on-Don)

Today, local positioning systems are rapidly developing, and electromagnetic positioning systems (EMPS) are the most promising and poorly researched representative of them. The article discusses the prospects and features of the use of artificial neural networks (ANN) in the EPMS. The process of creating and learning the ANN for a specific configuration of the system is discussed in detail. The results of modeling are analyzed. It is concluded that the intellectual approach has a significant advantage over any other methods with respect to EMS.

Keywords:induction EMF; artificial neural network; electromagnetic positioning system; motion tracking; intellectual approach; analytical approach.
 

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Citation link:
Lukianov E. A., Semenov V. S., Dolgikh A. V. Artificial Neural Nets in Electromagnetic Positioning Systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2018. -№03. -С. 60-66
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