4.8 Article

Position Estimation Using Linear Hall Sensors for Permanent Magnet Linear Motor Systems

期刊

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 63, 期 12, 页码 7644-7652

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2016.2591899

关键词

Fast Fourier transform (FFT); fixed point iteration method; initial position alignment; linear Hall sensor; Newton method; permanent magnet linear motor; position estimation; scaleless motor system

资金

  1. Ministry of Science, ICT and Future Planning (MSIP), Korea, under the Information Technology Research Center support program [IITP-2016-H8601-16-1005]
  2. BK21 plus program
  3. Technological Innovation RAMP
  4. D program of SMBA [S2341501]
  5. National Research Foundation of Korea - Korea government (MSIP) [2010-0028680]
  6. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [H8601-16-1005] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  7. Korea Technology & Information Promotion Agency for SMEs (TIPA) [S2341501] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  8. National Research Foundation of Korea [2010-0028680] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

This paper proposes a new scaleless position estimation method. From the industrial perspective, the Hall sensor has several advantages: tiny size, light weight, extremely lowcost, and insensitivity to environmental contamination and external disturbance. Compared to the square wave Hall sensor, the linear Hall sensor provides more detailed information along the position. However, for combining more than two linear Hall sensors, the sensor offset, the difference in scale, and the unwanted phase shift between them and the harmonics would decrease the validity and reliability of sensor measurement. The fast Fourier transform and the fixed point iteration method are applied to compensate for those issues without any low-pass filter or additional signal conditioning. The effectiveness of the proposed scheme is verified through a prototype permanent magnet linear synchronous motor system.

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