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Open AccessArticle

Self-Calibration of Angular Position Sensors by Signal Flow Networks

by Zhenyi Gao 1, Bin Zhou 1,*, Bo Hou 1, Chao Li 1, Qi Wei 2,* and Rong Zhang 1,*
1
Engineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
2
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
*
Authors to whom correspondence should be addressed.
Sensors 2018, 18(8), 2513; https://doi.org/10.3390/s18082513
Received: 8 June 2018 / Revised: 26 July 2018 / Accepted: 26 July 2018 / Published: 1 August 2018
(This article belongs to the Section Physical Sensors)
Angle position sensors (APSs) usually require initial calibration to improve their accuracy. This article introduces a novel offline self-calibration scheme in which a signal flow network is employed to reduce the amplitude errors, direct-current (DC) offsets, and phase shift without requiring extra calibration instruments. In this approach, a signal flow network is firstly constructed to overcome the parametric coupling caused by the linearization model and to ensure the independence of the parameters. The model parameters are stored in the nodes of the network, and the intermediate variables are input into the optimization pipeline to overcome the local optimization problem. A deep learning algorithm is also used to improve the accuracy and speed of convergence to a global optimal solution. The results of simulations show that the proposed method can achieve a high identification accuracy with a relative parameter identification error less than 0.001‰. The practical effects were also verified by implementing the developed technique in a capacitive APS, and the experimental results demonstrate that the sensor error after signal calibration could be reduced to only 6.98%. View Full-Text
Keywords: self-calibration; signal flow network; signal processing; angular position sensor self-calibration; signal flow network; signal processing; angular position sensor
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Gao, Z.; Zhou, B.; Hou, B.; Li, C.; Wei, Q.; Zhang, R. Self-Calibration of Angular Position Sensors by Signal Flow Networks. Sensors 2018, 18, 2513.

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