Estimation of IMU orientation using Nesterov’s accelerated gradient improved by fuzzy control rule

•The iterative approach adopts Nesterov’s accelerated gradient speeds up convergence.•The use of fuzzy control rule improves the accuracy of estimating IMU orientation.•This algorithm is able to handle the disturbance of magnetic field and non-gravity acceleration. [Display omitted] The application...

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Bibliographic Details
Published in:	Sensors and actuators. A. Physical. Vol. 332; p. 113062
Main Authors:	Tang, Liang, Fan, Yanfeng, Ye, Fangping, Lu, Wenzheng
Format:	Journal Article
Language:	English
Published:	Lausanne Elsevier B.V 01.12.2021 Elsevier BV
Subjects:	Accelerometers Algorithms Estimating techniques Fuzzy control Fuzzy logic Gyroscopes Inertial measurement unit Inertial platforms Kalman filters Magnetic interference suppression Magnetometers Measurement MEMS sensor Motion acceleration suppression Motion sensors Nesterov’s accelerated gradient Orientation Pitch (inclination) Robustness (mathematics) Rolling motion Sensors Yaw Inertial measurement unit Nesterov’s accelerated gradient Motion acceleration suppression MEMS sensor Magnetic interference suppression
ISSN:	0924-4247, 1873-3069
Online Access:	Get full text
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