• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

1995 Fiscal Year Final Research Report Summary

Three-Dimensional Position Sensing System using Magnetic Sensor

Research Project

Project/Area Number 06452232
Research Category

Grant-in-Aid for General Scientific Research (B)

Allocation TypeSingle-year Grants
Research Field 電子デバイス・機器工学
Research InstitutionHimeji Institute of Technology

Principal Investigator

MAEDA Muneo  Himeji Institute of Technology, Department of Electronics, Professor, 工学部, 教授 (90106493)

Co-Investigator(Kenkyū-buntansha) MAENAKA Kazusuke  Himeji Institute of Technology, Department of Electronics, Associate Professor, 工学部, 助教授 (70173721)
Project Period (FY) 1994 – 1995
KeywordsPosition sensing / Multi-dimensional sensor / Magnetic sensor / Neural network
Research Abstract

Two-and Three-dimensional position/movement detection system using a multi-dimensional magnetic sensor and a neural network was realized.
First, position and movement detection for parallel moving object and bending arms in a plane was achieved. As a magnetic source, permanent magnet was used for obtaining the static magnetic field and a coil was used for the alternating magnetic field. The two-dimensional semiconductor Hall cell was used for detection of the static magnetic field and the two-dimensional coil was used for the alternating magnetic field. As a signal processing part, an analog neural network was used. In the experiments, the detection error of less than 5% was achieved for area of around 100 mm square. Also, the optimization of the structure of the network was studied.
Next, based on the two-dimensional results, the system was expanded to three-dimensional. The neural network was optimized in order to directly treat the three analog signals. As a result, three-dimensional position detection was achieved with the error of less than 5%. The detection with signal processing takes several tens milliseconds and it can be used for real time processing.
In this research, we found that the analog neural network, especially three-inputs network, is practically useful for such applications, whereas the limitation of the application of neural networks is not clear until now. From the result that the performance of the detection is not depend on the shape and spatial resolution of the magnetic source and detector, this system opens the novel application of the movement control of the micro-machines, etc.

  • Research Products

    (8 results)

All Other

All Publications (8 results)

  • [Publications] K.Maenaka et.al: "Applications of Multi‐dimensional Mignetic Sensor." Sensors and Materials. 8. 33-46 (1996)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] M.Baba et.al.: "Three‐Dimonsional Position Sensing System using Analog 3 inputs Neural Netwaork." Teck.Dig.of the 14th Sensor Syon.(予定). (1996)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] K.Maenaka et.al.: "Position and Movement Detection System for Small Area" Proc.of Int.Sym.of MIMR'95. 618-621 (1995)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Y.Shimizu et.al.: "Detection of Bending Angle for Human Finger" Tech.Dig.of the 13th Sensor Sym.233-236 (1995)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] K.Maenaka, et.al.: "Applications of Multi-dimensional Magnetic Sensors-Position and Movement Sensing-" Sensors and Materials. 8. 33-46 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M.Baba et.al.: "Three-Dimensional Position Sensing System using Analog 3 Inputs Neural Network" Tech.Dig.of the 14 the Sensor Sym. (1996)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Maenaka et.al.: "Position and movement detection system for small area" Proc.of Int.Sym.of MIMR (Sendai, Japan, 1995). 618-621

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Y.Shimizu et.al.: "Detection of Bending angle for Human Finger" Tech.Dig.of the 13th Sensor Sym. 233-236 (1995)

    • Description
      「研究成果報告書概要(欧文)」より

URL: 

Published: 1997-03-04  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi