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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Vydané v:	Sensors and actuators. A. Physical. Ročník 332; s. 113062
Hlavní autori:	Tang, Liang, Fan, Yanfeng, Ye, Fangping, Lu, Wenzheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Lausanne Elsevier B.V 01.12.2021 Elsevier BV
Predmet:	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
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