System Error Compensation Methodology Based on a Neural Network for a Micromachined Inertial Measurement Unit
Errors compensation of micromachined-inertial-measurement-units (MIMU) is essential in practical applications. This paper presents a new compensation method using a neural-network-based identification for MIMU, which capably solves the universal problems of cross-coupling, misalignment, eccentricity...
Main Authors: | Shi Qiang Liu, Rong Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/2/175 |
Similar Items
-
Modeling and Experimental Study on Characterization of Micromachined Thermal Gas Inertial Sensors
by: Yan Su, et al.
Published: (2010-09-01) -
Micromachined Fluid Inertial Sensors
by: Shiqiang Liu, et al.
Published: (2017-02-01) -
Towards Improved Inertial Navigation by Reducing Errors Using Deep Learning Methodology
by: Hua Chen, et al.
Published: (2022-04-01) -
Attitude Heading Reference System Using MEMS Inertial Sensors with Dual-Axis Rotation
by: Li Kang, et al.
Published: (2014-09-01) -
Modeling and Compensation of Inertial Sensor Errors in Measurement Systems
by: Tao Zheng, et al.
Published: (2023-05-01)