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Identifying the Positioning Systems in Conditions of Insufficient Primary Measurement Information

  • Anton Lankin
  • Valeriy GrechikhinEmail author
  • Stanislav Gladkikh
Conference paper
  • 44 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

The article describes the development of a method for identifying the parameters of the positioning systems components in conditions of insufficient primary measurement information using the proportional electromagnets as example. A review and analysis of the existing classification methods applicable to the dynamic characteristics of magnetization is carried out. The requirements are put forward for choosing a classification method as applied to proportional electromagnets. Based on the requirements, the most suitable method has been selected. Also considered is the stage of identifying the parameters of the constituent elements of proportional electromagnets by various methods of constructing regression models, among which the model most suitable for solving the problem is selected. For the subsequent data processing, a work algorithm was compiled combining soft independent modeling of class analogy method with the regression on latent structures method. Based on this algorithm, an experiment was conducted to identify the parameters of the constituent elements of proportional electromagnet in conditions of insufficient primary measurement information. A matrix of the obtained responses of the parameters of the constituent elements of positioning systems has been compiled and the method error of 5% has been calculated. This error is permissible for magnetic measurements. With such an error, one or another positioning system can be accurately identified.

Keywords

Positioning systems Proportional electromagnet Identification Classification Regression 

Notes

Acknowledgements

The study results are obtained with the support of the project #2.7193.2017/8.9 “Development of scientific bases of design, identification and diagnosis systems for highly accurate positioning with application of the methodology of inverse problems of electrical engineering”, carried out within the framework of the base part of State job.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.The Platov South-Russia State Polytechnic University (NPI)NovocherkasskRussia

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