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Chapter

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Title

Kalman filter sensor fusion for multi-head position encoder

Authors

[ 1 ] Instytut Automatyki, Robotyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ 2 ] Instytut Automatyki i Robotyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • estimation technique
  • sensor
  • measurement
  • signal processing
  • adjustable speed drive
  • sensors fusion
  • low speed
Abstract

EN This paper presents an Kalman Filter Data Fusion methodology and investigation for high dynamics and high precision multi-head angular position encoder. The proposed algorithm based on measurement of four dependent Read Heads and encoder ring for one mechanical shaft of high precision system with electric drive. The global fusion of proposed estimation provide computed value of position and additional important information about speed and sum of disturbances, which can be used for further control. The performances of proposed fusion algorithm compared into other known industrial methods, with leading effects.

Pages (from - to)

P.1 - P.7

DOI

10.23919/EPE17ECCEEurope.2017.8099389

URL

https://ieeexplore.ieee.org/document/8099389

Book

19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe)

Presented on

19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe), 11-14.09.2017, Warsaw, Poland

Ministry points / chapter

20

Publication indexed in

WoS (15)

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