Compensation of Rotary Encoders Using Fourier Expansion-Back Propagation Neural Network Optimized by Genetic Algorithm

Compensation of Rotary Encoders Using Fourier Expansion-Back Propagation Neural Network Optimized by Genetic Algorithm

The measurement accuracy of the precision instruments that contain rotation joints is influenced significantly by the rotary encoders that are installed in the rotation joints. Apart from the imperfect manufacturing and installation of the rotary encoder, the variations of ambient temperature could...

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Bibliographic Details
Main Authors: Hua-Kun Jia, Lian-Dong Yu, Yi-Zhou Jiang, Hui-Ning Zhao, Jia-Ming Cao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
angle measurement error
BP neural network
genetic algorithm
rotary encoder
temperature compensation
instrument
Online Access:https://www.mdpi.com/1424-8220/20/9/2603

Internet

https://www.mdpi.com/1424-8220/20/9/2603

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