The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 1P1-R07
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Computational Reduction in Look-up Table for Eccentric Magnetic Absolute Encoder
*Akishi TAKEYAMAShota KOMATSUZAKIYuki NAGATSUHideki HASHIMOTO
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Abstract

In this paper, we propose a method to reduce the computational complexity of Look-up Table(LUT) by utilizing the unique features of eccentric magnetic encoder. In the previous study, eccentric rotation was used to achieve higher resolution without compromising the absolute angle. However, the number of sensors is reduced in relation to the number of magnetic poles of the magnet, a large angle error will occur. This problem can be solved by using LUT. But LUT require a large number of calculations and are heavy to process. To solve this problem, we propose to reduce the capacity of the LUT. Simulation results show that the proposed method achieves the same level of accuracy as the conventional method while reducing the number of data.

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© 2022 The Japan Society of Mechanical Engineers
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